Wavelet transform applications in instrumentation and measurement: tutorial & literature survey

Zieliński, T.

Artykuł - szczegóły

Tytuł artykułu

Wavelet transform applications in instrumentation and measurement: tutorial & literature survey

Autorzy

Zieliński T.

Wybrane pełne teksty z tego czasopisma

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Warianty tytułu

Zastosowanie transformacji falkowej w oprzyrządowaniach i pomiarach: wykład i przegląd literatury

Języki publikacji

Abstrakty

Due to its many advantages the wavelet transform has become in the last decade a very popular numerical tool for general purpose signal analysis and processing. It belongs to the so-called time-frequency signal representations that are dedicated for tracking of the time-varying spectral content of a signal. The field of its potential applications is very wide since it can replace with success the discrete Fourier transform in many practical methods of signal interpretation (approximation) and filtering (different components' separation and denoising). Since many mathematically comprehensive and simple user-friendly tutorials of the wavelet transform foundations as well as computer programs for its calculation are available, the present paper will address only a very simple representations of the wavelet transform principles mainly concentrating on the description of its contemporary state-of-the-art instrumentation and measurement applications.

Z powodu swoich licznych zalet transformacja falkowa stała się w ostatniej dekadzie bardzo popularnym narzędziem analizy i przetwarzania sygnałów. Należy ona do grupy tzw. reprezentacji czasowo-częstotliwościowych, przeznaczonych do śledzenia zmienności widma sygnału w czasie. Pole jej zastosowań jest bardzo szerokie ponieważ może ona z sukcesem zastąpić klasyczną dyskretną transformację Fouriera w wielu praktycznych metodach interpretacji (aproksymacji) sygnałów zmiennych w czasie oraz ich filtracji (separacji składowych i odszumiania). Istnieje wiele pozycji literaturowych przedstawiających w sposób przystępny i wyczerpujący zarówno podstawy matematyczne jak i liczne zastosowania transformacji falkowej. Z tego powodu w niniejszym artykule transformacja falkowa zostanie przedstawiona tylko skrótowo, zaś główny nacisk będzie położony na omówienie nowoczesnych, różnorodnych aplikacji transformacji falkowej w technice pomiarowej.

Słowa kluczowe

wavelet transform applications instrumentation measurement

transformacja falkowa zastosowania oprzyrządowanie pomiary

Wydawca

Komitet Metrologii i Aparatury Naukowej PAN

Czasopismo

Metrology and Measurement Systems

Rocznik

2004

Tom

Vol. 11, nr 1

Strony

61--101

Opis fizyczny

Bibliogr. 330 poz., rys., wykr.

Twórcy

autor

Zieliński T.

AGH University of Science and Technology, Measurement Department

Bibliografia

Time frequency analysis (some books and recommended tutorial papers)
1. Cohen L.: Time-Frequency Distributions - A Review. Proc. IEEE, vol.77, no.7, 1989, pp. 941-981.
2. Hlawatsch F., Boudreaux-Bartels GF.: Linear and Quadratic Time-Frequency Signal Representations. IEEE Signal Processing Magazine, April 1992, pp. 21-67.
3. Cohen L.: Time-Frequency Analysis. Englewood Cliffs, Prentice-Hall 1995.
4. Qian S., Chen D.: Joint Time-Frequency Analysis. Methods and Applications. Upper Saddle River, Prentice Hall PTR 1996.
5. Cohen L., Loughlin P. (eds.): Recent Developments in Time-Frequency Analysis. Boston, Kluwer 1998.
6. Zieliński T.: Time-Frequency and Time-Scale Representations of Nonstationary Signals. Kraków, Wydawnictwa AGH 1994. (in Polish)
7. Zieliński T.: From Theory to Digital Signal Processing. Kraków, WEAIiE-AGH 2002 (chap. 16) (in Polish)
Wavelet transform - turning points/mile steps & interesting papers
8. Grossmann A., Morlet J.: Decomposition of Hardy functions into square integrable wavelets of constant shape. SIAM J. Math. Analysis, vol.15, 1984, pp. 723-736. (beginning)
9. Goupillaud P., Grossmann A., Morlet J.: Cycle-octave and related transforms in seismic signal analysis. Geoexpl oration, vol. 23, 1984. (begining)
10. Daubechies I.: Orthonormal bases of compactly supported wavelets. Communications on Pure and Applied Mathematics, vol. 41, 1988, pp. 909-996. (first mathematical formalization)
11. Combes J.M., Grossmann A., Tchamitchian Ph. (eds.): Wavelets, Time-Frequency Methods and Phase Space. Berlin, Springer Verlag 1989. (proceedings of the first wavelet conference)
12. Mallat S.G.: A theory for multiresolution signal decomposition: the wavelet representation. IEEE Trans. on Pattern Recognition and Machine Intelligence, vol. 11, no. 7, 1989, pp. 674-693. (wavelets by filter banks)
13. Daubechies I.: The wavelet transform, time-frequency localization and signal analysis. IEEE Trans, on Information Theory, vol. 36, no. 5, 1990, pp. 961-1005. (continuation of mathematical formalization)
14. Mallat S., Hwang W.L.: Singularity detection and processing with wavelets. IEEE Trans. Information Theory, vol. 38, no. 2, 1992, pp. 617-643. (singularity detection - important application feature)
15. Coifman RR., Meyer Y., Wickerhauser M.V.: Wavelet analysis and signal processing. In Wavelets and their Applications (Jones and Barlett, Boston, Ruskai et al. eds), 1992, pp. 153-178. (first wavelet packets)
16. Coifman RR., Wickerhauser M.V. Entropy-based algorithms for best basis selection. IEEE Trans. on Information Theory, vol. 38, no. 2, 1992, pp. 713-18. (continuation of wavelet packets)
17. Mallat S., Zhang Z.: Matching pursuits with time-frequency dictionaries. IEEE Trans. Signal Processing, vol. 41, no. 12, 1993, pp. 3397-3415. (adaptive time-frequency analysis)
18. de Queiroz RL., Rao KRR.: Time-varying lapped transforms and wavelet packets. IEEE Trans. on Signal Processing, vol. 41, no. 12, 1993, pp. 3293-305. (adaptive wavelet packets)
19. Donoho D., I. Johnstone: Ideal denoising in an orthonormal basis chosen from a library of bases. C.R. Acad. Sci. Paris, Serie I, vol. 319, 1994, pp. 1317-22. (denoising - important application feature)
20. Donoho D., Johnstone I.: Ideal spatial adaptation via wavelet shrinkage. Biometrika. vol. 81, Dec. 1994, pp. 425-455. (denoising cont.)
21. Saito N., Coifman RR.: Local discriminant bases and their applications. Journal of Mathematical Imaging & Vision, vol. 5, no. 4, Dec. 1995, pp. 337-58 (designing discriminant wavelets).
22. Sweldens W.: The lifting scheme: A custom-design construction ofbiorthogonal wavelets. Applied Comput. Harmonic Analysis, vol. 3, no. 2, 1996, pp. 186-200. (beginning of the second generation wavelets)
23. Daubechies I., Sweldens W.: Factoring Wavelet Transform into Lifting Steps; J. of Fourier Analysis and Applications, vol. 4, no. 3, 1998, pp. 245-267. (link between wavelets of the first and second generation)
24. Calderbank R., Daubechies I., Sweldens W., Yeo B.-L.: Wavelet transforms that map integers to integers; Applied Comput. Harmonic Analysis, vol. 5, no. 3, 1998, pp. 332-369. (beginning of integer-to-integer wavelet transform used in lossless data compression)
25. Piella G., Heijmans HJAM.: Adaptive lifting schemes with perfect reconstruction. IEEE Transactions on Signal Processing, vol. 50, no. 7, July 2002, pp. 1620-30.
Wavelet transform - some exemplary books
26. Daubechies I.: Ten Lectures on Wavelets. Philadelphia, SIAM 1992.
27. Chui Ch.K.: An Introduction to Wavelets. San Diego, Academic Press 1992.
28. Kaiser G.: A Friendly Guide to Wavelets. Birkhauser, 1994.
29. Wickerhauser M.V.: Adapted Wavelet Analysis from Theory to Software. Wellesley, AK Peters 1994.
30. Vetterli M., Kovacevic J.: Wavelets and Subband Coding. Englcwood Cliffs, Prentice Hall 1995.
31. Strang G., Nguyen T.: Wavelets and Filter Banks. Wellesley, Cambridge Press 1996.
32. Burrus C.S., Gopinath R.A., Guo H.: Introduction to Wavelets and Wavelet Transforms. A Primer. Upper Saddle River, Prentice Hall 1998.
33. Mallat S.: A Wavelet Tour of Signal Processing. San Diego, Academic Press 1998.
34. Białasiewicz J.T.: Wavelets and Approximations. Warszawa, WNT 2000. (in Polish)
35. Wojtaszczyk P.: Wavelets Theory. Warszawa, PWN 2000. (in Polish)
36. K. Sayood: Data compression: Introduction. Warszawa, Wydawnictwo RM 2002 (chap. 14). (in Polish)
Wavelet transform - tutorial papers
37. Rioul O., Vetterli M.: Wavelets and signal processing. IEEE Signal Processing Magazine, October 1991, pp. 14-38.
38. Bentley PM. McDonnell JTE.: Wavelet transforms: an introduction. Electronics & Communication Eng. J., vol. 6, no. 4, Aug. 1994, pp. 175-86.
39. Coifman RR., Wickerhauser MV.: Adapted waveform analysis as a toot for modeling, feature extraction, and denoising. Optical Eng., vol. 33, no. 7, July 1994, pp. 2170-4.
40. Soo-Chang Pei. Min-Hung Yeh.: An introduction to discrete finite frames. IEEE Signal Processing Magazine, vol. 14, no. 6, Nov. 1997, pp. 84-96.
41. Leavey CM. James MN. Summerscales J. Sutton R.: An introduction to wavelet transforms: a tutorial approach. Insight - non - Destructive Testing & Condition Monitoring, vol. 45, no.5, May 2003, pp. 344-53.
42. Rioul O., Duhamel P.: Fast algorithms for discrete and continuous wavelet transforms. IEEE Trans. on Information Theory, vol. 28, no. 2, Feb. 1992, pp. 569-586.
43. Malik RK. Subramanian K.: Chakrabarti C. Vishwanath M. Owens RM.: Architectures for wavelet transforms: a survey. J. of VLSI Signal Processing, vol. 14, no. 2, Nov. 1996, pp. 171-92.
44. Decusatis C. Koay J. Das P.: Hybrid optical implementation of discrete wavelet transforms: a tutorial. Optics & Laser Technology, vol. 28, no. 2, March 1996. pp. 51-8.
Compression
45. Huber AK. Budge SE. Moon TFC. Bingham GE.: CCA performance of a new source list/EZW hybrid compression algorithm. Proc. Conf. Astronomical Data Analysis. San Diego. SPIE vol. 4477, 2001. pp. 173-85. (EZW = embedded zerotree wavelet coding)
46. Kiema JBK., Bahr H-P.: Wavelet compression and the automatic classification of urban environments using high resolution multispectral imagery and laser scanning data. Geolnformatica, vol. 5, no. 2, June 2001, pp. 165-79.
47. Shark LK., Lin XY., Varley MR., Matuszewski BJ., Smith JP. Lossless compression of radiographic images of aircraft components. Aircraft Eng. & Aerospace Technology, vol. 75, no. 4, 2003, pp. 358-64.
48. Li H. Takei M. Saito Y. Horii K.: Application of wavelet packet image compression technique to particle image velocimetry. Int. J. of Applied Electromagnetics & Mechanics, vol. 15, no. 1-4, 2001-2002.
49. Chiu E., Vaisey J., Atkins MS.: Wavelet-based space-frequency compression of ultrasound images. IEEE Trans. on Information Technology in Biomedicine, vol. 5, no. 4, Dec. 2001, pp. 300-10.
50. Oh J. Woolley SI. Arvanitis TN. Townend JN.: A multistage perceptual quality assessment for compressed digital angiogram images. IEEE Trans. on Medical Imaging, vol. 20, no. 12, Dec. 2001, pp. 1352-61.
51. Penedo M., Pearlman WA. Tahoces PG., Souto M., Vidal JJ.: Region-based wavelet coding methods for digital mammography. IEEE Trans. on Medical Imaging, vol. 22, no. 10, Oct. 2003, pp. 1288-96.
52. Zhongmin Liu, Zixiang Xiong, Qiang Wu, Yu-Ping Wang, Castleman K.: Cascaded differential and wavelet compression of chromosome images. IEEE Trans. on Biomedical Eng., vol. 49, no. 4, April 2002, pp. 372-83.
53. Fowler ML.: Non-MSE wavelet-based data compression for emitter location. Proc. Conf Mathematics of Data/Image Coding, Compression, and Encryption IV, with Applications. San Diego, SPIE vol. 4475, 2001, pp. 13-22.
54. Chi-Jui Wu, Tsu-Hsun Fu, Chaung-Wei Wu: Discrete wavelet transform applied to data compression of waveforms with harmonics and voltage flicker. Proc. IEEE Power Eng. Society Winter Meeting, New York, 2002, vol. 2, pp. 1141-6.
55. Schmalzl J.: Using standard image compression algorithms to store data from computational fluid dynamics. Computers & Geosciences, vol. 29, no. 8, Oct. 2003, pp. 1021-31.
56. Zhitao Lu, Dong Youn Kim, Pearlman WA.: Wavelet compression of ECG signals by the set partitioning in hierarchical trees algorithm. IEEE Trans. on Biomed. Eng., vol. 47, no. 7, July 2000, pp. 849-56.
57. Augustyniak P. Adaptive Discrete Representation of Electrocardiogram. Kraków, Wydawnictwa AGH Kraków 2003 (in Polish).
58. Srinivasan P., Jamielson LH.: High-quality audio compression using an adaptive wavelet packet decomposition and psychoacoustic modeling. IEEE Trans. Signal Processing, vol. 46, no. 4, April 1998, pp. 1085-93
59. Reyes NR., Zurera MR., Ferreras FL., Amores PJ.: Adaptive wavelet-packet analysis for audio coding purposes. Signal Processing, vol. 83, no. 5, May 2003, pp. 919-29.
60. Rajpoot NM., Wilson RG., Meyer FG., Coifman RR.: Adaptive wavelet packet basis selection for zerotree image coding. IEEE Trans. Image Processing, vol. 12, no. 12, Dec. 2003, pp. 1460-72.
Denoising
61. Coifman RR., Wickerhauser MV: Adapted waveform “de-noising” for medical signals and images. IEEE Engineering in Medicine & Biology Magazine, vol. 14, no. 5, Sept.-Oct. 1995, pp. 578-86.
62. Van Nevel AJ. DeFacio B. Neal SP.: Information-theoretic wavelet noise removal for inverse elastic wave scattering theory. Physical Review E. Statistical Physics, Plasmas, Fluids, & Related Interdisciplinary Topics, vol. 59. no. 3, pt. A-B, March 1999, pp. 3682-93.
63. Olhede SC. Walden AT.: Noise reduction in directional signals using multiple Morse wavelets illustrated on quadrature Doppler ultrasound. IEEE Trans. on Biomedical Eng., vol. 50, no. 1, Jan. 2003, pp. 51-7.
64. Yu Zhang. Yuanyuan Wang. Weiqi Wang.: Denoising quadrature Doppler signals from bi-directional flow using the wavelet frame. IEEE Trans. on Ultrasonics Ferroelectrics & Frequency Control, vol. 50, no. 5, May 2003, pp. 561-4.
65. Spinelli AE. Ott RJ. ter Haar GR: Arterial input function measurements using radiotracer and microbubbles: preliminary results. IEEE Trans. on Nuclear Science, vol. 49, no. 3, June 2002, pp. 803-7. (ultrasound Doppler and blood microbubbles)
66. Aydin N. Markus HS.: Time-scale analysis of quadrature Doppler ultrasound signals. IEE Proc.-A-Science Measurement & Technology, vol. 148, no. 1, Jan. 2001, pp. 15-22.
67. Michailovich O. Adam D.: Robust estimation of ultrasound pulses using outlier-resistant de-noising. IEEE Trans. on Medical Imaging, vol. 22, no. 3, March 2003, pp. 368-81.
68. Yu Zhang. Yuanyuan Wang. Weiqi Wang. Bin Liu. Doppler ultrasound signal denoising based on wavelet frames. IEEE Trans. on Ultrasonics Ferroelectrics & Frequency Control, vol. 48, no. 3, May 2001, pp. 709-16.
69. Cherkassky V. Kilts S.: Myopotential denoising of ECG signals using wavelet thresholding methods. Neural Networks, vol. 14, no. 8, Oct. 2001, pp. 1129-37.
70. Han-Chang Wu. Shuenn-Tsong Young. Te-Son Kuo.: Wavelet transform based denoising in transient evoked OAE measurement. J. of Medical & Biological Eng., vol. 22, no. 4, Dec. 2002, pp. 171-81. (evoked otoacoustic emission signals)
71. Angrisani L. Daponte P. Lupo G. Petrarca C. Vitelli M.: Analysis of ultrawide-band detected partial discharges by means of a multiresolution digital signal-processing method. Measurement, vol. 27, no. 3, April 2000, pp. 207-21.
72. Shim I. Soraghan JJ. Siew WH.: A noise reduction technique for on-line detection and location of partial discharges in high voltage cable networks. Measurement Science & Technology, vol. 11, no. 12, Dec. 2000, pp. 1708-13.
73. Biscainho LWP. Freeland FP. Esquef PAA. Diniz PSR.: Wavelet shrinkage denoising applied to real audio signals under perceptual evaluation. Proc. 10th European Signal Processing Conf., Tampere, 2000, vol. 4, pp. 2061-4.
74. Fu JC. Chai JW. Wong STC. Deng JJ. Yeh JY.: De-noising of left ventricular myocardial borders in magnetic resonance images. Magnetic Resonance Imaging, vol. 20, no. 9, Nov. 2002, pp. 649-57.
75. Jou-Wei Lin. Laine AF. Bergmann SR. Improving PET-based physiological quantification through methods of wavelet denoising. IEEE Trans. on Biomedical Eng., vol. 48, no. 2, Feb. 2001, pp. 202-12. (positron emission tomography)
76. Delbo S., Gamba P. Roccato D.: A fuzzy shell clustering approach to recognize hyperbolic signatures in subsurface radar images. IEEE Trans. on Geoscience & Remote Sensing, vol. 38, no. 3, May 2000, pp. 1447-51.
77. Jin Guanchang. Wu Zhen. Bao Nikeng. Yao Xuefeng. Digital speckle correlation method with compensation technique for strain field measurements. Optics & Lasers in Eng., vol. 39, no. 4, April 2003, pp. 457-64.
Feature extraction: Medicine
78. Tranulis C., Durand LG., Senhadji L., Pibarot P.: Estimation of pulmonary arterial pressure by a neural network analysts using features based on time-frequency representations of the second heart sound. Medical & Biological Eng. & Computing, vol. 40, no. 2, March 2002, pp. 205-12.
79. Ferreira CBR., Borges DL.: Analysis of mammogram classification using a wavelet transform decomposition. Pattern Recognition Letters, vol. 24, no. 7, April 2003, pp. 973-82.
80. Lemaur G., Drouiche K., DeConinck J.: Highly regular wavelets for the detection of clustered microcalcifications in mammograms. IEEE Trans. on Medical Imaging, vol. 22, no. 3, March 2003, pp. 393-401.
81. Jafari-Khouzani K., Soltanian-Zadeh H.: Multiwavelet grading of pathological images of prostate. IEEE Trans. on Biomedical Eng., vol. 50, no. 6, June 2003, pp. 697-704.
82. Yoshida H., Casalino DD., Keserci B., Coskun A., Ozturk O., Savranlar A.: Wavelet-packet-based texture analysis for differentiation between benign and malignant liver tumours in ultrasound images. Physics in Medicine & Biology, vol. 48, no. 22, 21 Nov. 2003, pp. 3735-53.
83. Wen-Li Lee, Yung-Chang Chen, Kai-Sheng Hsieh: Ultrasonic liver tissues classification by fractal feature vector based on M-band wavelet transform. IEEE Trans. on Medical Imaging, vol. 22, no. 3, March 2003, pp. 382-92.
84. Karkanis SA., Iakovidis DK., Maroulis DE., Karros DA., Tzivras M.: Computer-aided tumor detection in endoscopic video using color wavelet features. IEEE Trans. on Information Technology in Biomedicine, vol. 7, no. 3, Sept. 2003, pp. 141-52.
85. Maroulis DE., Iakovidis DK., Karkanis SA., Karras DA.: CoLD: a versatile detection system for colorectal lesions in endoscopy video-frames. Computer Methods & Programs in Biomcdicine, vol. 70, no. 2, Feb. 2003, pp. 151-66 (colorectal cancer diagnosis and detection of pre-cancerous polyps).
86. Turkoglu I., Arslan A., Ilkay E.: A wavelet neural network for the detection of heart valve diseases. Expert Systems, vol. 20, no. 1, Feb. 2003, pp. 1-7.
87. Olmez T., Dokur Z.: Classification of heart sounds using an artificial neural network. Pattern Recognition Letters, vol. 24, no. 1-3, Jan. 2003, pp. 617-29.
88. Szi-Wen Chen: A wavelet-based heart rate variability analysis for the study of nonsustained ventricular tachycardia. IEEE Trans. on Biomedical Eng., vol. 49, no. 7, July 2002, pp. 736-42.
89. Saxena SC., Kumar V., Hamde ST.: QRS detection using new wavelets. J. of Medical Eng. & Technology, vol. 26, no. 1, Jan.-Feb. 2002, pp. 7-15. (electrocardiography)
90. He Sheng Liu, Tong Zhang, Fu Sheng Yang: A multistage, multimethod approach for automatic detection and classification of epileptiform EEG. IEEE Trans. on Biomedical Eng., vol. 49, no. 12, Dec. 2002, pp. 1557-66.
Feature extraction: Radar/sonar
91. Nelson DE., Starzyk JA., Ensley DD.: Iterated wavelet transformation and signal discrimination for HRR radar target recognition. IEEE Trans. on Systems, Man, & Cybernetics Part A: Systems & Humans, vol. 33, no. 1, Jan. 2003, pp. 52-7.
92. Vignaud L.: Wavelet-RELAX feature extraction in radar images. IEE Proc.: Rada,. Sonar & Navigation, vol. 150, no. 4, 1 Aug. 2003, pp. 242-6.
93. Shouyong Wang, Guangxi Zhu, Tangt YY.: Feature extraction of radar multiple-target echoes using wavelet packet transform with the best bases. International J. of Pattern Recognition & Artificial Intelligence, vol. 17, no. 1, Feb. 2003, pp. 127-50.
94. Yuchua Li. Duntang Cao. Qinghong Shen. Xingguo Li: Method of range profile for step frequency MMW radar based on wavelet transform power spectrum estimator. Proc. SPIE Conf. on Signal and Data Processing of Small Targets, San Diego, 2001, SPIE vol. 4473, pp. 43-50.
95. De Yao, Azimi-Sadjadi MR., Jamshidi AA., Dobeck GJ.: A study of effects of sonar bandwidth for underwater target classification. IEEE J. of Oceanic Eng., vol. 27, no. 3, July 2002, pp. 619-27.
Feature extraction: Materials
96. Journaux S., Gouton P., Thauvin G.: Evaluating creep in metals by grain boundary extraction using directional wavelets and mathematical morphology. J. of Materials Processing Technology, vol. 117, no. 1-2, 2 Nov. 2001, pp. 132-45.
97. Han Wu-peng, Chen Wen-kai, Liu Zheng-yao: A way of pattern recognition for identification in textile. Control Theory & Applications, vol. 20, no. 3, June 2003. pp. 391-3.
98. Xue Zhi Yang, Pang GKH., Yung NHC: Discriminative fabric defect detection using adaptive wavelets. Optical Eng., vol. 41, no. 12, Dec. 2002, pp. 3116-26.
99. Lim J. Udpa SS. Udpa L. Afzal ML: Multisensor fusion for 3-D defect characterization using wavelet basis function neural networks. Proc. Seventh Annual Review of Progress in Quantitative Nondestructive Evaluation, Ames, 2001, pp. 679-86.
Feature extraction: Machines, motors and industrial processes monitoring
100. Changting Wang, Gao RX.: Wavelet transform with spectral post-processing for enhanced feature extraction (machine condition monitoring). IEEE Trans, on Instr. & Meas., vol. 52, no. 4, Aug. 2003, pp. 1296-301.
101. Goumas SK. Zervakis ME. Stavrakakis GS.: Classification of washing machines vibration signals using discrete wavelet analysis for feature extraction. IEEE Trans, on Instr. & Meas., vol. 51, no. 3, June 2002, pp. 497-508.
102. Peng Z., He Y., Lu Q., Chu F.: Feature extraction of the rub-impact rotor system by means of wavelet analysis. J. of Sound & Vibration, vol. 259, no. 4, 23 Jan. 2003, pp. 1000-10.
103. Seker S., Ayaz E.: Feature extraction related to bearing damage in electric motors by wavelet analysis. J. of the Franklin Institute, vol. 340, no. 2, March 2003, pp. 125-34.
104. Ge M., Zhang GC., Du R., Xu Y.: Feature extraction from energy distribution of stamping processes using wavelet transform. J. of Vibration & Control, vol. 8, no. 7, Oct. 2002, pp. 1023-32.
105. Li W. Li D. Ni J.: Diagnosis of tapping process using spindle motor current. Int. J. of Machine Tools & Manufacture, vol. 43, no. 1, Jan. 2003, pp. 73-9.
106. Altman J., Mathew J.: Multiple band-pass autoregressive demodulation for rolling-element bearing fault diagnosis. Mechanical Systems & Signal Processing, vol. 15, no. 5, Sept. 2001, pp. 963-77.
107. Peng Z., Chu F., He Y.: Vibration signal analysis and feature extraction based on reassigned wavelet scalogram. J. of Sound & Vibration, vol. 253, no. 5, 20 June 2002, pp. 1087-100.
Feature extraction: Power delivery
108. Hoang TA., Nguyen DT.: Improving training of radial basis function network for classification of power quality disturbances. Electronics Letters, vol. 38, no. 17, 15 Aug. 2002, pp. 976-7.
109. Gaouda AM., Kanoun SH., Salama MMA., Chikhani AY.: Pattern recognition applications for power system disturbance classification. IEEE Trans. on Power Delivery, vol. 17, no. 3, July 2002, pp. 677-83.
110. Jiansheng Huang, Negnevitsky M., Nguyen DT.: A neural-fuzzy classifier for recognition of power quality disturbances. IEEE Trans. on Power Delivery, vol. 17, no. 2, April 2002, pp. 609-16.
111. Gaouda AM., El-Saadany EF., Salama MMA., Sood VK., Chikhani AY.: Monitoring HVDC systems using wavelet multi-resolution analysis. IEEE Trans. on Power Systems, vol. 16, no. 4, Nov. 2001, pp. 662-70.
112. Youssef OAS.: A wavelet-based technique for discrimination between faults and magnetizing inrush currents in transformers. IEEE Trans. on Power Delivery, vol. 18, no. 1, Jan. 2003, pp. 170-6.
113. Youssef OAS.: New algorithm to phase selection based on wavelet transforms. IEEE Trans. on Power Delivery, vol. 17, no. 4, Oct. 2002, pp. 908-14.
Feature extraction: Partial discharge
114. Carminati E. Cristaldi L. Lazzaroni M. Monti A.: A neuro-fuzzy approach for the detection of partial discharge. IEEE Trans. on Instr. & Meas., vol. 50, no. 5, Oct. 2001, pp. 1413-17.
Feature extraction: Numerals, characters, signatures, faces
115. Chen GY., Bui TD., Krzyzak A.; Contour-based handwritten numeral recognition using multiwavelets and neural networks. Pattern Recognition, vol. 36, no. 7, July 2003, pp. 1597-604.
116. Dhanya D. Ramakrishnan AG.: Optimal feature extraction for bilingual OCR. Proc. 5th Int. Workshop on Document Analysis Systems V (Lecture Notes in Computer Science, vol. 2423), 2002, pp. 25-36. (optical character recognition)
117. Vergara da Silva A. Santana de Freitas D.: Wavelet-based compared to function-based on-line signature verification. Proc. 15th Brazilian Symp. on Computer Graphics and Image Processing, Fortaleza-CE, 2002, pp. 218-25.
118. Chengjun Liu, Wechsler H.: Independent component analysis of Gabor features for face recognition. IEEE Trans, on Neural Networks, vol. 14, no. 4, July 2003, pp. 919-28.
119. Ruoyu Roy Wang. Huang T. Stubler P. Mehrotra R.: Robust face recognition based on motion pursuit. Proc. IEEE Int. Conf. on Multimedia and Expo, vol. 2, 2002, pp. 153-6.
120. Xiaoling Wang. Hairong Qi. Face recognition using optimal non-orthogonal wavelet basis evaluated by information complexity. Proc. 16th IEEE Int. Conf. on Pattern Recognition, Quebec, 2002, vol. 1, pp. 164-7.
Feature extraction: Contours, shapes, picture
121. Cheikh FA. Quddus A. Gabbouj M.: Contour-based object recognition using wavelet-transform. Proc. 10th European Signal Processing Conf., Tampere, 2000, vol. 4, pp. 2141-4.
122. Osowski S., Do Dinh Nghia: Fourier and wavelet descriptors for shape recognition using neural networks-a comparative study. Pattern Recognition, vol. 35, no. 9, Sept. 2002, pp. 1949-57.
123. Wang JZ. Jia Li. Wiederhold G.: SIMPLIcity: semantics-sensitive integrated matching for picture libraries. IEEE Trans. on Pattern Analysis & Machine Intelligence, vol. 23, no. 9, Sept. 2001, pp. 947-63.
Feature extraction: Speech
124. Farooq O., Datta S.: Phoneme recognition using wavelet based features. Information Sciences, vol. 150, no. 1-2, March 2003, pp. 5-15.
125. Hsieh C-T., Lai E., Wang Y-C.: Robust speech features based on wavelet transform with application to speaker identification. IEE Proc.: Vision, Image & Signal Processing, vol. 149, no. 2, April 2002, pp. 108-14.
Feature extraction: Miscellaneous
126. Dickenson RJ., Ghassemlooy Z.: A feature extraction and pattern recognition receiver employing wavelet analysis and artificial intelligence for signal detection in diffuse optical wireless communications. IEEE Wireless Communications, vol. 10, no. 2, April 2003, pp. 64-72.
127. Xin-Yun Zhang et al: Signal processing techniques in genomic engineering. Proc. of the IEEE, vol. 90, no. 12, Dec. 2002, pp. 1822-33.
128. Lonescu R., Llobet E.; Wavelet transform-based fast feature extraction from temperature modulated semiconductor gas sensors. Sensors & Actuators B-Chemical, vol. B81, no. 2-3, 2002, pp. 289-95.
129. Chibani Y., Houacine A.: Redundant versus orthogonal wavelet decomposition for muttisensor image fusion. Pattern Recognition, vol. 36, no. 4, April 2003, pp. 879-87.
130. Stepnowski A., Moszynski M., Van Dung T.: Adaptive neuro-fuzzy and fuzzy decision tree classifiers as applied to seafloor characterization. Acoustical Physics (Russia), vol. 49, no. 2, March 2003, pp. 193-202.
131. Karim A.. Adeli H.: Fast automatic incident detection on urban and rural freeways using wavelet Energy algorithm. J. of Transportation Eng., vol. 129, no. 1, Jan. 2003, pp. 57-68.
Flow & velocity measurements (anemometry/velocimetry)
132. Campbell M. Cosgrove JA. Greated CA. Jack S. Rockliff D.: Review of LDA and PIV applied to the measurement of sound and acoustic streaming. Optics & Laser Technology, vol. 32, no. 7-8, Oct.-Nov. 2000, pp. 629-39. (LDA - laser Doppler anemomctry and PIV - particle image velocimetry)
133. Wang G., Ching CY.: Measurement of multiple gas-bubble velocities in gas-liquid flows using hot-film anemometry. Experiments in Fluids, vol. 31, no. 4, Oct. 2001, pp. 428-39 (data reduction and separation).
134. Douglas SH., Greated CA., Royles R.: Laser Doppler anemometry study of oscillating bubbles. Fluid Mechanics Research, vol. 29, no. 1, 2002, pp. 27-39.
135. Kudryashov TV. Grechikhin VA.: Research of the errors of particle velocity measurement by wavelet-analysis of the LDA signal model. Proc. SPIE Seventh International Symp. on Laser Metrology Applied to Science, Industry, and Everyday Life, Novosibirsk, 2002, SPIE vol. 4900, 2002, pp. 1164-70.
136. Schram C. Riethmuller ML.: Vortex ring evolution in an impulsively started jet using digital particle image velocimetry and continuous wavelet analysis. Measurement Science & Technology, vol. 12, no. 9, Sept. 2001, pp. 1413-21.
137. CoetmeIIec S. Buraga-Lefebvre C. Lebrun D. Ozkul C.: Application of in-line digital holography to multiple plane velocimetry. Measurement Science & Technology, vol. 12, no. 9, Sept. 2001, pp. 1392-7.
138. Tao Sun. Hongjian Zhang. Chiving Hu: Identification of gas-liquid two-phase flow regime and quality. Proc. the 19th IEEE Instr. and Meas. Technology Conf., 2002, vol. 2, pp. 1471-4
139. Longo S. Turbulence under spilling breakers using discrete wavelets. Experiments in Fluids, vol. 34, no. 2, Feb. 2003, pp. 181-91. (2D laser Doppler velocimetry)
140. Protas B. Schneider K. Farge M.: Geometrical alignment properties in Fourier- and wavelet-filtered statistically stationary two-dimensional turbulence. Physical Review E. Statistical Physics, Plasmas, Fluids, & Related Interdisciplinary Topics, vol. 66, no. 4, Oct. 2002, pp. 46307-1-5.
141. Zhao Songnian: Synchrocascade pattern in the atmospheric turbulence. J. of Geophysical Research, vol. 108, no. D8, 27 April 2003, pp. ACL4-1-8. {turbulence velocity)
142. Hui Li. Nozaki T.: Wavelet analysis for the plane turbulent jet (analysis of large eddy structure). JSME Int. Journal Series B-Fluids & Thermal Engineering, vol. 38, no. 4, Nov. 1995, pp. 525-31.
143. Hui Li, Nozaki T., Tabata T., Oshige S.: Wavelet analysis of the near-field structure in a bounded jet. Trans. of the Japan Society for Aeronautical & Space Sciences, vol. 42, no. 135, May 1999, pp. 27-33.
144. Yufeng Zhang. Zhenyu Guo. Weilian Wang. Side He. Ting Lee. Loew M.: A comparison of the wavelet and short-time Fourier transforms for Doppler spectral analysis. Medical Eng. & Physics, vol. 25, no. 7, Sept. 2003, pp. 547-57. (blood flow velocity measurement)
145. Jianqiu Zhang. Jun Ma. Yong Yan.: Assessing blockage of the sensing line in a differential pressure flow sensor by using the wavelet transform of its output. Measurement Science & Technology, vol. 11, no. 3, March 2000, pp. 178-84.
146. Zhang JQ., Yan Y.: Online validation of the measurement uncertainty of a sensor using wavelet transforms. IEE Proc.-A-Science Measurement & Technology, vol. 148, no. 5, Sept. 2001, pp. 210-14 (flow sensor).
147. Yamada T. Yomogida K. Group velocity measurement of surface waves by the wavelet transform. J. of Physics of the Earth, vol. 45, no. 5, 1997, pp. 313-29.
148. Pyrak-Nolte LJ. Nolte DD. Wavelet analysis of velocity dispersion of elastic interface waves propagating along a fracture. Geophysical Research Letters, vol. 22, no. 11, 1 June 1995, pp. 1329-32.
149. Wu T-T. Chen Y-Y. Wavelet analysis of laser-generated surface waves in a layered structure with unbond regions. J. of Applied Mechanics-Trans. of the ASME, vol. 66, no. 2, June 1999, pp. 507-13.
Frequency & instantaneous frequency estimation
150. Kudryashov TV. Grechikhin VA.: Investigation of errors in estimates of the frequency of signals of laser Doppler anemometers using wavelet analysis. Measurement Techniques (USA), vol. 45, no. 7, July 2002, pp. 732-7.
151. Kuang WT. Morris AS.: Using short-time Fourier transform and wavelet packet filter banks for improved frequency measurement in a Doppler robot tracking system. IEEE Trans. on Instr. & Meas., vol. 51, no. 3, June 2002, pp. 440-4.
152. Mann S., Haykin S.: Adaptive “chirplet” transform: an adaptive generalization on the wavelet transform. Optical Engineering, vol. 36, no. 1, 1992, pp. 1243-1256.
153. Mann S., Haykin S.: The Chirplet Transform: Physical Considerations. IEEE Trans. Signal Processing, vol. 43, no. 11, 1995, pp. 2745-2761.
154. Angrisani L. D’Arco M.: A measurement method based on a modified version of the chirplet transform for instantaneous frequency estimation. IEEE Trans. on Instr. & Meas., vol. 51, no. 4, Aug. 2002, pp. 704-11.
155. Wang G., Xia X-G., Root BT., Chen VC., Zhang Y., Amin M.: Maneuvering target detection in over-the-horizon radar using adaptive clutter rejection and adaptive Chirplet transform. IEE Proc. on Radar, Sonar and Navigation, vol. 150, no. 4, August 2003, pp. 284-91.
Images: Tutorials, new ideas
156. Wang JZ.: Wavelets and imaging informatics: a review of the literature. Journal of Biomedical Informatics, vol. 34, no. 2, April 2001, pp. 129-41.
157. Erickson BJ. Manduca A. Palisson P. Persons KR. Earnest F IV. Savcenko V. Hangiandreou NJ.: Wavelet compression of medical images. Radiology, vol. 206, no. 3, March 1998, pp. 599-607.
158. Usevitch BE. A tutorial on modern lossy wavelet image compression: foundations of JPEG 2000. IEEE Signal Processing Magazine, vol. 18, no. 5, Sept. 2001, pp. 22-35.
159. Vass J. Palaniappan K. Zhuang X.: Three-dimensional wavelet coding of volumetric imagery. International Journal of Robotics & Automation, vol. 15, no. 1, 2000, pp. 34-47.
160. Brooks RR. Grewe L. Iyengar SS.: Recognition in the wavelet domain: A survey. Journal of Electronic Imaging, vol. 10, no. 3, July 2001, pp. 757-84.
161. Mallat S.: Wavelets for a vision. Proceedings of the IEEE, vol. 84, no. 4, April 1996, pp. 604-14.
162. Simone G. Farina A. Morabito FC. Serpico SB. Bruzzone L.: Image fusion techniques for remote sensing applications. Information Fusion, vol. 3, no. 1, March 2002, pp. 3-15.
163. Wang H. Peng J. Wu W.: Fusion algorithm for multisensor images based on discrete multiwavelet transform. IEE Proceedings: Vision, Image & Signal Processing, vol. 149, no. 5, Oct. 2002, pp. 283-9.
164. Kautsky J. Flusser J. Zitova B. Simberova S.: A new wavelet-based measure of image focus. Pattern Recognition Letters, vol. 23, no. 14, Dec. 2002, pp. 1785-94.
165. Lee C. Kwon O.: Objective measurements of video quality using the wavelet transform. Optical Eng., vol. 42, no. 1, Jan. 2003, pp. 265-72.
Images: Enhancement
166. Yu-Ping Wang. Qiang Wu. Castleman KR. Zixiang Xiong: Chromosome image enhancement using muttiscale differential operators. IEEE Trans. on Medical Imaging, vol. 22, no. 5, May 2003, pp. 685-93.
167. Yoshida H.: Multiscale edge-guided wavelet snake model for delineation of pulmonary nodules in chest radiographs. J. of Electronic Imaging, vol. 12, no. 1, Jan. 2003, pp. 69-80.
168. Fraser SI. Allen AR.: A speckle reduction algorithm using the a trous wavelet transform. Proc. IASTED Int. Conf. on Visualization, Imaging, and Image Processing. Marbella, 2001, pp. 313-18.
169. Costaridou L. Sakellaropoulos P. Stefanoyiannis AP. Ungureanu E. Panayiotakis G.: Use of wavelet analysis to measure contrast and noise in mammograms. Proc. 9th Mediterranean Conf. on Medical and Biological Eng. and Computing MEDICON 2001, Zagreb, 2001, vol. 1, pp. 498-501.
170. Cincotti G. Loi G. Pappalardo M.: Frequency decomposition and compounding of ultrasound medical images with wavelet packets. IEEE Trans. on Medical Imaging, vol. 20, no. 8, Aug. 2001, pp. 764-71.
Images: features/segmentation
171. Davatzikos C., Xiaodong Tao, Dinggang Shen: Hierarchical active shape models, using the wavelet transform. IEEE Trans. on Medical Imaging, vol. 22, no. 3, March 2003, pp. 414-23. (brain image segmentation)
172. Sentelle SSC., Sutton MA.: Multiresolution-based segmentation of calcifications for the early detection of breast cancer. Real-Time Imaging, vol. 8, no. 3, June 2002, pp. 237-52.
173. Yates K. Evans C. Brady M.: Improving the Brake’s mammograpltic mass-detection algorithm using phase congruency. Proc. Sixth Conf. on Digital Image Computing Techniques and Applications. Melbourne, 2002, pp. 179-83.
174. Mehrubeoglu M., Kehternavaz N., Marquez G., Duvic M., Wang LV.: Skin lesion classification using oblique-incidence diffuse reflectance spectroscopic imaging. Applied Optics, vol. 41, no. 1, 1 Jan. 2002, pp. 182-92.
175. Kaspersen JH. Lango T. Lindseth F.: Wavelet-based edge detection in ultrasound images. Ultrasound in Medicine & Biology, vol. 27, no. 1, Jan. 2001, pp. 89-99.
176. Haiyun Li. Chye Hwang Yan. Sim Heng Ong. Chee Kong Chui. Swee Hin Teoh. A multiresolution segmentation technique for spine MRI images. Proc. SPIE Conf. on Medical Imaging, San Diego 2002, SPIE vol. 4684, pp. 1709-17.
177. Dima A., Scholz M., Obermayer K.: Automatic segmentation and skeletonization of neurons from confocal microscopy images based on the 3-D wavelet transform. IEEE Trans, of Image Processing, vol. 11, no. 7, July 2002, pp. 790-801.
178. Nunez J., Llacer J.: Astronomical image segmentation by self-organizing neural networks and wavelets. Neural Networks, vol. 16, no. 3-4, April-May 2003, pp. 411-17.
179. Seymour MD., Widrow LM.: Multire solution analysis of substructure in dark matter halos. Astrophysical J., vol. 578, no. 2, pt. 1, 20 Oct. 2002, pp. 689-701.
180. Acharyya M. Kundu MK.: Document image segmentation using wavelet scale-space features. IEEE Trans. on Circuits & Systems for Video Technology, vol. 12, no. 12, Dec. 2002, pp. 1117-27.
181. Hussain M. Eakins J. Sexton G.: Visual clustering of trademarks using the self-organizing map. Image and Video Retrieval Int. Conf. (Lecture Notes in Computer Science vol. 2383), London. 2002, pp. 147-56.
Image: Textures
182. Randen T., Husoy JH.: Filtering for texture classification: a comparative study. IEEE Trans. on Pattern Analysis & Machine Intelligence, vol. 21, no. 4, April 1999, pp. 291-310.
183. Acharyya M. Kundu MK.: An adaptive approach to unsupervised texture segmentation using M-band wavelet transform. Signal Processing, vol. 81, no. 7, July 2001, pp. 1337-56.
184. Yoshida H., Casalino DD., Keserci B., Coskun A., Ozturk O., Savranlar A.: Wavelet-packet-based texture analysis for differentiation between benign and malignant liver tumours in ultrasound images. Physics in Medicine & Biology, vol. 48, no. 22, 21 Nov. 2003, pp. 3735-53.
185. Jing-Wein Wang: Texture classification based on coevolution approach in multiwavelet feature space. Proc. Conf. on Structural, Syntactic, and Statistical Pattern Recognition (Lecture Notes in Computer Science vol. 2396), Windsor, 2002, pp. 806-13.
186. Chateau T. Jurie F. Dhome M. Clady X.: Real-time tracking using wavelet representation. Proc. Pattern Recognition - 24th DAGM Symp. (Lecture Notes in Computer Science vol. 2449), Zurich, 2002, pp. 523-30.
Images: Registration (matching, retrieval)
187. Moon-Chuen Lee, Chi-Man Pun: Rotation and scale invariant wavelet feature for content-based texture image retrieval. J. of the American Society for Information Science & Technology, vol. 54, no. 1, 2003, pp. 68-80.
188. Le Moigne J., Campbell WJ., Cromp RF.: An automated parallel image registration technique based on the correlation of wavelet features. IEEE Trans. on Geoscience & Remote Sensing, vol. 40, no. 8, Aug. 2002, pp. 1849-64.
189. Own HS. Hassanien AE.: Multiresolution image registration algorithm in wavelet transform domain. Proc. 14th Int. Conf. on Digital Signal Processing Proc., Santorini, 2002, vol. 2, pp. 889-92.
190. Muneesawang P. Ling Guan.: Multiresolution-histogram indexing and relevance feedback learning for image retrieval. Proc. 7th IEEE Int. Conf. on Image Process., Vancouver, 2000, vol. 2, pp. 526-9.
191. Ramesh C. Ranjith T.: Fusion performance measures and a lifting wavelet transform based algorithm for image fusion. Proc. of Fifth Int. Conf. on Information Fusion, Annapolis, 2002, vol. 1, pp. 317-20.
Interferometry
192. Kadooka K. Kunoo K. Uda N. Ono K. Nagayasu T.: Strain analysis for moire interferometry using the two-dimensional continuous wavelet transform. Experimental Mechanics, vol. 43, no. 1, March 2003, pp. 45-51.
193. Federico A. Kaufmann GH.: Evaluation of the continuous wavelet transform method for the phase measurement of electronic speckle pattern interferometry fringes. Optical Eng., vol. 41, no. 12, Dec. 2002, pp. 3209-16.
194. Kumar R. Shakher C.: Measurement of out-of-plane dynamic deformations by digital speckle pattern interferometry. Defence Science J., vol. 53, no. 1, Jan. 2003, pp. 115-21.
Nondestructive testing (NDT) of materials, tools & processes
195. Le Gonidec Y.,ConiI F., Gilbert D.: The wavelet response as a multiscale NDT method. Ultrasonics, vol. 41, no. 6, Aug. 2003, pp. 487-97.
196. Drai R. Khelil M. Benchaala A.: Time frequency and wavelet transform applied to selected problems in ultrasonics NDE. NDT & e International, vol. 35, no. 8, Dec. 2002, pp. 567-72.
197. Josso B. Burton DR. Lalor MJ.: Frequency normalised wavelet transform for surface roughness analysis and characterisation. Wear, vol. 252, no. 5-6, March 2002, pp. 491-500.
198. Lewis MRM. Murrell HC. Jermy CA. Palmer CG.: On measuring roughness. South African Computer J., no. 27, Aug. 2001, pp. 49-56.
199. Guilbaud S. Audoin B. Measurement of the stiffness coefficients of a viscoelastic composite material with laser-generated and detected ultrasound. J. of the Acoustical Society of America, vol. 105, no. 4, April 1999, pp. 2226-35.
200. Gang Qi: Wavelet-based AE characterization of composite materials. NDT & e International, vol. 33, no. 3, April 2000, pp. 133-44. (acoustic emission testing)
201. Shenfang Yuan, Wang Lei, Lihua Shi: Active monitoring for on-line damage detection in composite structures. J. of Vibration & Acoustics-Trans. of the ASME, vol. 125, no. 2, April 2003, pp. 178-86.
202. Willam K. Rhe I. Beylkin G.: Multiresolution analysis of elastic degradation in heterogeneous materials. Meccanica, vol. 36, no. 1, 2001, pp. 131-50.
203. Amizic B. Amaravadi VK. Rao VS. Derriso MM.: Two-dimensional wavelet mapping techniques for damage detection in structural systems. Proc. SPIE Conf. Smart Structures and Materials, San Diego, 2002, SPIE vol. 4693, pp. 267-78.
204. Wang SB. Tong JW. Yue C. Li LA. Shen M.: New method on experimental damage study of AS4/PEEK composite laminates. Proc. SPIE Conf. Nondestructive Evaluation and Health Monitoring of Aerospace Materials and Civil Infrastructures, San Diego, vol. 4704, 2002, pp. 69-73.
205. Dae-Un Sung. Jung-Hoon Oh. Chun-Gon Kim. Chang-Sun Hong.: Impact monitoring of smart composite laminates using neural network and wavelet analysis. J. of Intelligent Material Systems & Structures, vol. 11, no. 3, March 2000, pp. 180-90.
206. Robini MC. Magnin IE. Benoit-Catun H. Baskurt A.: Two-dimensional ultrasonic flaw detection based on the wavelet packet transform. IEEE Transactions on Ultrasonics Ferroelectrics & Frequency Control, vol. 44, no. 6, Nov. 1997, pp. 1382-94.
207. Haase M., Widjajakusuma J.: Damage identification based on ridges and maxima lines of the wavelet transform. International J. of Eng. Science, vol. 41, no. 13-14, Aug. 2003, pp. 1423-43.
208. Quek ST., Wang Q., Zhang L., Ong KH.: Practical issues in the detection of damage in beams using wavelets. Smart Materials & Structures, vol. 10, no. 5, Oct. 2001, pp. 1009-17.
209. Abu-Zahra NH. Lange JH.: Tool chatter monitoring in turning operations using wavelet analysis of ultrasound waves. International J. of Advanced Manufacturing Technology, vol. 20, no. 4, 2002, pp. 248-54.
210. Maradei C., Piotrkowski R., Serrano E., Ruzzante JE.: Monitoring of the tool condition with acoustic emission signal analysis using wavelet packets. Insight - non - Destructive Testing & Condition Monitoring, vol. 44, no.12, Dec. 2002, pp. 786-91.
211. Abu-Zahra NH. Yu G.: Gradual wear monitoring of turning inserts using wavelet analysis of ultrasound waves. International J. of Machine Tools & Manufacture, vol. 43, no. 4, March 2003, pp. 337-43.
212. Slesarev DA., Barat VA.: Use of wavelet transformation for signal analysis in the testing of steel cables. Measurement Techniques (USA), vol. 44, no. 1, Jan. 2001, pp. 41-3.
213. Kyungyoung Jhang et al. Wavelet analysis based deconvolution to improve the resolution of scanning acoustic microscope images for the inspection of thin die layer in semiconductor. NDT & e International, vol. 35, no. 8, Dec. 2002, pp. 549-57.
214. Sadok M.: Wavelets for ultrasonic echo identification in aircraft fuel tanks. Proc. SPIE Conf. Wavelet and Independent Component Analysis Applications IX, Orlando, 2002, SPIE vol. 4738, pp. 497-502.
215. Jiming Yin. Pineda de Gyvez J. Mi Lu.: Real-time wavelet-integrated corrosion detection system for casing pipes. Integrated Computer-Aided Engineering, vol. 7, no. 2, 2000, pp. 155-68.
216. Jinsong P. Suyi H.: Noisy temperature field reconstruction by wavelet-expansion in OCT measurement. Heat & Mass Transfer, vol. 38, no. 6, 2002, pp. 507-12. (optical computerized tomography)
Position / distance / displacement measurements
217. Sandoz P. Ravassard JC. Dembele S. Janex A.: Phase-sensitive vision technique for high accuracy position measurement of moving targets. IEEE Trans. on Instr. & Meas., vol. 49, no. 4, Aug. 2000, pp. 867-72. (displacement, micropositioning. image processing, reference pattern)
218. Rong-Seng Chang. Jin-Yi Sheu. Ching-Huang Lin. He-Chiang Liu. Analysis of CCD moire pattern for micro-range measurements using the wavelet transform. Optics & Laser Technology, vol. 35, no. 1, Feb. 2003, pp. 43-7.
219. Andria G. Attivissimo F. Giaquinto N.: Digital signal processing techniques for accurate ultrasonic sensor measurement. Measurement, vol. 30, no. 2, Sept. 2001, pp. 105-14. (distance, acoustic correlation)
220. Leopold J. Guther H. Leopold R.: New developments in fast 3D-surface quality control. Measurement, vol. 33, no. 2, March 2003, pp. 179-87. (car body inspection, optical)
221. Clerc M. Wavelet-based correlation for stereopsis. Proc. 7th European Conf. on Computer Vision (Lecture Notes in Computer Science vol. 2351), Copenhagen, 2002. pp. 495-509. (depth recovery, stereo images)
222. Yongliang Xiong. Dingfa Huang. Shum CK. Shengjie Ge: GPS phase measure cycle-slip detecting and GPS base-line resolution based on wavelet transformation. Proc. Conf. Acquisition, Tracking, and Pointing XVI, SPIE vol. 4714, 2002, pp. 111-17.
Power measurements
223. Jin Xiong-fei. Le Xiu-fan.: A survey on measuring method for harmonic of network. Relay, vol. 31, no. 8, Aug. 2003, pp. 11-14.
224. Wang Jing. Shu Hong-chun. Chen Xue-yun.: A survey of wavelets transform applying to power system engineering. Power System Technology, vol. 27, no. 6, June 2003, pp. 52-63.
225. Anis Ibrahim WR. Morcos MM.: Artificial intelligence and advanced mathematical tools for power quality applications: a survey. IEEE Transactions on Power Delivery, vol. 17, no. 2, April 2002, pp. 668-73.
226. Chul Hwan Kim. Raj Aggarwal: Wavelet transforms in power systems. I. General introduction to the wavelet transforms. Power Engineering Journal, vol. 14, no. 2, April 2000, pp. 81-7.
227. Gandelli A. Monti A. Riva M.: Wavelet-based approach to network analysis: an introduction. European Transactions on Electrical Power, vol. 8, no. 4, July-Aug. 1998, pp. 259-64. (power, harmonics)
228. Weon-Ki Yoon. Devaney MJ.: Power measurement using the wavelet transform. IEEE Trans. on Instr. & Meas., vol. 47, no. 5, Oct. 1998, pp. 1205-10. USA.
229. Weon-Ki Yoon. Devaney MJ.: Reactive power measurement using the wavelet transform. IEEE Trans. on Instr. & Meas., vol. 49, no. 2, April 2000, pp. 246-52.
230. Hamid EY., Mardiana R., Kawasaki Z-I.: Method for RMS and power measurements based on the wavelet packet transform. IEE Proc.-A-Science Measurement & Technology, vol. 149, no. 2, March 2002, pp. 60-6.
231. Liu YZ. Chen S.: Comparison of wavelets and Fourier techniques in the measurement of harmonic distortions. Proc. Fifth Int. Power Eng. Conf., Singapore, 2001, vol. 2, pp. 420-5.
232. Angrisani L. Daponte P. D’Apuzzo M.: A virtual digital signal-processing instrument for measuring superimposed power line disturbances. Measurement, vol. 24, no. 1, July 1998, pp. 9-19.
233. Angrisani L. Daponte P. Dias C: Performance assessment according to IEC 1083-2 standard of a wavelet packet transform based method for measuring the parameters of high voltage impulses. Measurement, vol. 33, no. 1, Jan. 2003, pp. 95-108.
234. Xuyun Zang. Naixiang Ma. Peibai Zhou. Wenzhen Chen. Measurement and analysis of impulse EMI waveform in HV lab. Proc. 3rd Int. Symp. on Electromagnetic Compatibility, Beijing, China, 2002, pp. 170-3.
235. Galli AW. Nielsen OM.: Wavelet analysis for power system transients. IEEE Computer Applications in Power, vol. 12, no. 1, Jan. 1999, pp. 16, 18, 20, 22, 24-5.
236. Driesen JLJ., Belmans RJM.: Wavelet-based power quantification approaches. IEEE Trans. on Instrumentation & Measurement, vol. 52, no. 4, Aug. 2003, pp. 1232-8.
237. Angrisani L. Daponte P. D’Apuzzo M. Pietrosanto A.: A VXI power quality analyser implementing a wavelet transform-based measurement procedure. Measurement, vol. 26, no. 2, Sept. 1999, pp. 91-102.
238. Andria G. Cavone G.: Definition and measurement of a new electrical power quality index for power system management purposes. Proc. 12th IMEKO TC4 Int. Symp. Electrical Measurements and Instrumentation, Zagreb, 2002, pp. 424-8.
239. Youssef OAS.: A modified wavelet-based fault classification technique. Electric Power Systems Research, vol. 64, no. 2, Feb. 2003, pp. 165-72.
240. Jia Qingquan. Yang Qixun. Yang Wei. Yang Yihan. Song Jiahua: Multi-criteria relaying strategy for single phase to ground fault in MV power systems. Int. Conf. on Power System Technology PowerCon 2002, Kunming, China , vol. 2, pp. 683-7.
241. Rong Jiang. Tagaris H. Lachsz A. Jeffrey M.: Wavelet based feature extraction and multiple classifiers for electricity fraud detection. IEEE/PES Transmission and Distribution Conf. and Exhibition, Yokohama, 2002, vol. 3, pp. 2251-6.
242. Chang CS. Xu Z. Khambadkone A.: Enhancement and laboratory implementation of neural network detection of short circuit faults in DC transit system. IEE Proc. Electric Power Applications, vol. 150, no. 3, 8 May 2003, pp. 344-50.
243. Filho FAR. Senger EC. Cabral F E Jr. Kinto EA.: Digital algorithm for the protection of the interconnection, utility-industry, operating in co-generation systems. Proc. the 13th Int. Conf. on Power System Protection, Ljubljana, 2002, pp. 167-72.
244. Yang L. Judd MD.: Recognising multiple partial discharge sources in power transformers by wavelet analysis of UHF signals. IEE Proc. A Science Measurement & Technology, vol. 150, no. 3, 2 May 2003, pp. 119-27.
245. Satish L. Nazneen B. Wavelet-based denoising of partial discharge signals buried in excessive noise and interference. IEEE Trans. on Dielectrics & Electrical Insulation, vol. 10, no. 2, April 2003, pp. 354-67.
246. Lamela-Rivera H. Macia-Sanahuja C. Garcia-Souto JA.: Detection and wavelet analysis of partial discharges using an optical fibre interferometric sensor for high-power transformers. J. of Optics A: Pure & Applied Optics, vol. 5, no. 1, Jan. 2003, pp. 66-72.
247. Masugi M.: Multiresolution analysis of electrostatic discharge current from electromagnetic interference aspects. IEEE Trans. on Electromagnetic Compatibility, vol. 45, no. 2, May 2003, pp. 393-403.
Segmentation of signals
248. Clavier L., Boucher J-M., Lepage R., Blanc J-J., Cornily J-C.: Automatic P-wave analysis of patients prone to atrial fibrillation. Med. & Biol. Eng. & Comput., vol. 40, no. 1, Jan. 2002, pp. 63-71. (ECG)
249. AI-Nashash HA., Paul JS., Ziai WC., Hanley DF., Thakor NV.: Wavelet entropy for subband segmentation of EEG during injury and recovery. Annals of Biomedical Eng., vol. 31, no. 6, June 2003, pp. 653-8.
Signal/system parameters measurement
250. Angrisani L. Daponte P.: A proposal for the automatic evaluation of the mean curve required by the ANSI/IEEE Std 4-1978. IEEE Trans. on Instr. & Meas., vol. 47, no. 5, Oct. 1998, pp. 1180-6.
251. Howe DA. Percival DB.: Wavelet variance, Allan variance, and leakage. IEEE Trans. on Instr. & Meas., vol. 44, no. 2, April 1995, pp. 94-7.
252. Nugraha HB. Langi AZR.: A procedure for singularity measurement using wavelet. Proc. Asia-Pacific Conf. on Circuits and Systems, Bali, 2002, vol. 1, pp. 407-10.
253. Zhang JQ. Yan Y.: Online validation of the measurement uncertainty of a sensor using wavelet transforms. IEE Proc. A Science Measurement & Technology, vol. 148, no. 5, Sept. 2001, pp. 210-14.
254. Sung-Soo Kim. Byoung-Seob Park.: Metric defined by wavelets and integra-normalizer. Trans. Korean Institute of Electrical Engineers, D, vol. 50, no. 7, July 2001, pp. 350-6.
255. Nason GP., Sapatinas T.: Wavelet packet transfer function modelling of non stationary time series. Statistics & Computing, vol. 12, no. 1, Jan. 2002, pp. 45-56. (transfer function modelling)
Spectroscopy (mechanical or magnetic resonance, impedance)
256. Magalas LB. Kwasniewski J.: Selected applications of the wavelet transform. Diffusion & Defect Data Pt.B: Solid State Phenomena, vol. 89, 2003, pp. 355-64. (mechanical spectroscopy)
257. Antoine J-P. Coron A.: Time-frequency and rime-scale approach to magnetic resonance spectroscopy. Journal of Computational Methods in Science & Engineering, vol. 1, no. 2-3, 2001, pp. 327-52.
258. Wiegand G., Neumaier KR., Sackmann E.: Fast impedance spectroscopy: General aspects and performance study for single ion channel measurements. Review of Scientific Instruments, vol. 71, no. 6, June 2000, pp. 2309-20.
Thickness measurement (detection of echos)
259. Xiao-Liang Xu. Tewfik AH. Greenleaf JF.: Time delay estimation using wavelet transform for pulsed-wave ultrasound. Annals of Biomedical Eng., vol. 23, no. 5, 1995, pp. 612-21.
260. Angrisani L. Daponte P.: Thin thickness measurements by means of a wavelet transform-based method. Measurement, vol. 20, no. 4, April 1997, pp. 227-42.
261. Angrisani L. Daponte P. D’Apuzzo M.: A method for the automatic detection and measurement of transients. I. The measurement method. Measurement, vol. 25, no. 1, Jan. 1999, pp. 19-30.
262. Angrisani L. Daponte P. D’Apuzzo M.: A method for the automatic detection and measurement of transients. II. Applications. Measurement, vol. 25, no. 1, Jan. 1999, pp. 31-40.
263. Angrisani L. Daponte P. D’Apuzzo M.: The detection of echoes from multilayer structures using the wavelet transform. IEEE Trans. on Instr. & Meas., vol. 49, no. 4, Aug. 2000, pp. 727-31.
264. Strauss M., Sapir M., Glinsky ME., Melick JJ.: Geologic lithofacies identification using the multiscale character of seismic reflections. J. of Applied Physics, vol. 94, no. 8, 15 Oct. 2003, pp. 5350-8.
265. Martalet G., Sailhac R., Moreau F., Diament M.: Characterization of geological boundaries using 1-D wavelet transform on gravity data: theory and application to the Himalayas. Geophysics, vol. 66, no. 4, July-Aug. 2001, pp. 1116-29.
266. Adolphs U.: Roughness variability of sea ice and snow cover thickness profiles in the Ross, Amundsen, and Bellingshausen seas. J. of Geophysical Research, vol. 104, no. C6, 15 June 1999, pp. 13577-91.
267. Zhou Y-H., Wang J., Zheng XJ., Jiang Q.: Vibration control of variable thickness plates with piezoelectric sensors and actuators based on wavelet theory. J. of Sound & Vibration, vol. 237, no. 3, 26 Oct. 2000, pp. 395-410.
268. Jenot F., Ouaftouh M., Duquennoy M., Ourak M.: Corrosion thickness gauging in plates using Lamb wave group velocity measurements. Measurement Science & Technology, vol. 12, no. 8, Aug. 2001, pp. 1287-93. (ultrasonic measurement method)
269. Katartzis A., Sahli H., Cornelis J., Ffotopoulos A., Panayiotakis G.: Model-based technique for the measurement of skin thickness in mammography. Medical & Biological Eng. & Computing, vol. 40, no. 2, March 2002, pp. 153-62.
Vibration analysis
270. Newland DE.: Wavelet analysis of vibration. Part I: theory. J. of Vibration & Acoustics-Trans. of the ASME. vol. 116, no. 4, Oct. 1994, pp. 409-16. USA.
271. Newland DE.: Wavelet analysis of vibration. Part 2: wavelet maps. J. of Vibration & Acoustics-Trans. of the ASME, vol. 116, no. 4, Oct. 1994, pp. 417-25.
272. Gade S., Gram-Hansen K.: The analysis of nonstationary signals. Sound & Vibration, vol. 31, no. 1, Jan. 1997, pp. 40-6.
273. Khadem SE. Rezaee M. Development of vibration signature analysis using multiwavelet systems. J. of Sound & Vibration, vol. 261, no. 4, 3 April 2003, pp. 613-33.
274. Gaberson H.: The use of wavelets for analyzing transient machinery vibration. Sound & Vibration, vol. 36, no. 9, Sept. 2002, pp. 12-17.
275. Liu B., Ling S-F.: On the selection of informative wavelets for machinery diagnosis. Mechanical Systems & Signal Processing, vol. 13, no. 1, Jan. 1999, pp. 145-62.
276. Hong Guo, Crossman JA., Murphey YL, Coleman M.: Automotive signal diagnostics using wavelets and machine learning. IEEE Trans. on Vehicular Technology, vol. 49, no. 5, Sept. 2000, pp. 1650-62.
277. Jinseok Chang. Manshik Kim. Kyoungdoug Min.: Detection of misfire and knock in spark ignition engines by wavelet transform of engine block vibration signals. Measurement Science & Technology, vol. 13, no. 7, July 2002, pp. 1108-14. UK.
278. MercoreIIi P. Rode M. Terwiesch P.: A wavelet packet algorithm for online detection of pantograph vibrations. Proc. the 9th IFAC Symp. on Control in Transportation Systems, Braunschweig, 2001, vol. 1, pp. 235-40.
279. Chancey VC. Flowers GT. Howard CL.: A harmonic wavelets approach for extracting transient patterns from measured rotor vibration data. J. of Eng. for Gas Turbines & Power-Trans. of the ASME, vol. 125, no. 1, Jan. 2003, pp. 81-9.
280. Dremin IM., Furlctov VI, Ivanov O V., Nechitailo VA., Terziev VG.: Precursors of stall and surge processes in gas turbines revealed by wavelet analysis. Control Eng. Practice, vol. 10, no. 6, June 2002, pp. 599-604.
Acoustics
281. Suzuki H. Kinjo T. Hayashi Y. Takemoto M. Ono K. Hayashi Y.: Wavelet transform of acoustic emission signals. Journal of Acoustic Emission, vol. 14, no. 2, April-June 1996, pp. 69-84.
282. Chisaki Y. Nakashima H. Shiroshita S. Usagawa T. Ebata M.: Measuring method of instantaneous intensity by the harmonic wavelet transform. Acoustical Science & Technology (Acoust. Soc. Japan), vol. 24, no. 1, Jan. 2003, pp. 38-41.
283. Takaaki M. KumazawaT.: A pitch detection method based on continuous wavelet transform for harmonic signal. Acoustical Science & Technology (Acoust. Soc. Japan), vol. 24, no. 1, 2003, pp. 7-16.
284. Jitsukawa N., Ogawa T., Kanada H., Mori K.: Time-frequency analysis of impact sound of composite materials. Proc. 41st Annual Conf. of Soc. Instrument & Control Eng., 2002, Osaka, vol. 2, pp. 1076-9.
285. Huaming Wang, Qiang Zhang, Zhangwei Hu, Jinsonh Bao: An experimental study of AS350B2 helicopter noise. Acta Acustica, vol. 28, no. 2, March 2003, pp. 177-81.
Astronomy/Astrophysics
286. Frick P. Stepanov R. Shukurov A. Sokoloff D.: Structures in the rotation measure sky. Monthly Notices of the Royal Astronomical Society, vol. 325, no. 2, 1 Aug. 2001, pp. 649-64.
287. Hughes PA., Aller HD., Aller MF.: Extraordinary activity in the BL Lacertae object OJ 287. Astrophysical J., vol. 503, no. 2, pt. 1, 20 Aug. 1998, pp. 662-73.
288. Hu Zhan. Jamkhedkar P. Li-Zhi Fang.: The local power spectrum and correlation hierarchy of the cosmic mass field. Astrophysical J., vol. 555, no. 1, pt. 1, 1 July 2001, pp. 58-67.
289. Xiao Hu Yang. Long-Long Feng. Yao Quan Chu. Li-Zhi Fang.: Measuring the galaxy power spectrum with multiresolution decomposition. II. Diagonal and off-diagonal power spectra of the Las Campanas Redshift Survey galaxies. Astrophys. Journal, vol. 553, no. 1, pt. 1, 20 May 2001, pp. 1-13.
290. Stepanov R. Frick P. Shukurov A. Sokoloff D.: Wavelet tomography of the Galactic magnetic field. I. The method. Astronomy & Astrophysics, vol. 391, no. 1, Aug. 2002, pp. 361-8.
291. Jewell J.: A statistical characterization of Galactic dust emission as a non-Gaussian foreground of the cosmic microwave background. Astrophysical J., vol. 557, no. 2, pt. 1, 20 Aug. 2001, pp. 700-13.
Biomedicine: Reviews
292. Unser M. Aldroubi A.: A review of wavelets in biomedical applications. Proceedings of the IEEE, vol. 84, no. 4, April 1996, pp. 626-38.
293. Akay M.: Wavelet applications in medicine. IEEE Spectrum, vol. 34, no. 5, May 1997, pp. 50-6.
294. Coifman RR., Wickerhauser M.V.: Adapted waveform “de-noising” for medical signals and images. IEEE Engineering in Medicine & Biology Magazine, vol. 14, no. 5, Sept.-Oct. 1995, pp. 578-86.
Biomedicine: Cardiology & ECG
295. McCaffery G. Griffith TM. Naka K. Frennaux MP. Matthai CC.: Wavelet and receiver operating characteristic analvsis of heart rate variability. Physical Review E, vol.65, no. 2, Feb. 2002, pp. 022901/1-4.
296. Thurner S.. Feurstein MC., Teich MC.: Multiresolution wavelet analysis of heartbeat intervals discriminates healthy patients from those with cardiac pathology. Physical Review Letters, vol. 80, no. 7, 16 Feb. 1998, pp. 1544-7.
297. Lemire D., Pharand, Rajaonah J., Dube B., LeBlanc AR.: Wavelet time entropy. T wave morphology and myocardial ischemia. IEEE Trans. on Biomedical Eng., vol. 47, no. 7, July 2000, pp. 967-70.
298. Yu-Te Wu. Hui-Yun Chen. Li-Fen Chen. Po-Lei Lee. Tzu-Chen Yeh. Jen-Chuen Hsieh: Fetal heart tracking in ultrasound image sequences using coarse-to-fine wavelet. J. of Medical & Biological Eng., vol. 22, no. 2, June 2002, pp. 67-73.
Biomedicine: Neurology & EEG
299. Muthuswamy J. Thakor NV.: Spectral analysis methods for neurological signals. J. of Neuroscience Methods, vol. 83, no. 1, 31 Aug. 1998, pp. 1-14.
300. Jouny CC. Franaszczuk PJ. Bergey GK.: Characterization of epileptic seizure dynamics using Gabor atom density. Clinical Neurophysiology, vol. 114, no. 3, March 2003, pp. 426-37.
301. Lin-Sen Pon. Mingui Sun. Sclabassi RJ.: Adaptive separation of background activity and transient phenomenon in epileptic EEG using mathematical morphology and wavelet transforms. Proc. Int. Conf.of the IEEE Eng. in Medicine and Biology Society, 2000, vol. 2, pp. 1583-5.
302. Paul JS. et al.: 3. Paul JS. Patel CB. AI-Nashash H. Ning Zhang. Ziai WC. Mirski MA. Sherman DL.: Prediction of PTZ-induced seizures using wavelet-based residual entropy of cortical and subcortical field potentials. IEEE Trans. on Biomedical Eng., vol. 50, no. 5, May 2003, pp. 640-8.
303. Quian Quiroga R., Rosso OA., Basar E. Schurmann M.: Wavelet entropy in event-related potentials: a new method shows ordering of EEG oscillations. Biological Cybernetics, vol. 84, no. 4, April 2001, pp. 291-9.
Biomedicine: Myography & EMG
304. De Michele G., Sello S., Carboncini MC., Rossi B., Soo-Kyung Strambi: Cross-correlation time-frequency analysis for multiple EMG signals in Parkinson’s disease: a wavelet approach. Medical Eng. & Physics, vol. 25, no. 5, June 2003, pp. 361-9.
305. Flanders M.: Choosing a wavelet for single-trial EMG. J. of Neuroscience Methods, vol. 116, no. 2, 15 May 2002, pp. 165-77.
306. Kanai H. Koiwa Y.: Myocardial rapid velocity distribution. Ultrasound in Medicine & Biology, vol. 27, no. 4, April 2001, pp. 481-98.
Biomedicine: Evoked Potentials
307. Wilson WJ.: Wavelet analysis for audial agists. Australian and New Zealand J. of Audiology, vol. 24, no. 2, Nov. 2002, pp. 92-104. (AEP = auditory evoked potentials)
308. Angel A., Linkens DA., Ting CH.: Estimation of latency changes and relative amplitudes in somatosensory evoked potentials using wavelets and regression. Computers & Biomedical Research, vol. 32, no. 3, June 1999, pp. 209-51. (SEP = somatosensory EP)
309. Uyeda E. Wojnicki PJ. Micheli-Tzanakou E.: Visual evoked potential study of attention. Conf. Medical Imaging 2002: Image Perception, Observer Performance, and Technology Assessment. San Diego, Proc. SPIE, vol. 4686, 2002, pp. 279-89. (VEP = visual EP)
Biomedicine: Blood flow dynamics
310. CIoutier G. Chen D. Durand L-G.: A new clutter rejection algorithm for Doppler ultrasound. IEEE Trans. on Medical Imaging, vol. 22, no. 4, April 2003, pp. 530-8. (matching pursuit)
311. Rui Zou. Cupples WA. Yip KR. Holstein-Rathlou NH. Chon KH.: Time-varying properties of renal autoregulatory mechanisms. IEEE Trans. on Biomedical Eng., vol. 49, no. 10, Oct. 2002, pp. 1112-20.
312. Chan BCB. Chan FHY. Lam FK. Ping-Wing Lui. Poon PWF. Fast detection of venous air embolism in Doppler heart sound using the wavelet transform. IEEE Trans. on Biomedical Eng., vol. 44, no. 4, April 1997, pp. 237-46
313. Girault J-M. Kouame D. Ouahabi A. Patat F.: Micro-emboli detection: an ultrasound Doppler signal processing viewpoint. IEEE Trans. on Biomedical Eng., vol. 47, no. 11, Nov. 2000, pp. 1431-9.
314. Devuyst G., Vesin J-M., Despland PA., Bogousslavsky J.: The matching pursuit: a new method of characterizing microembolic signals? Ultrasound in Medicine & Biology, vol. 26, no. 6, July 2000, pp. 1051-6.
Biomedicine: Tomography
315. Madych WR.: Tomography, approximate reconstruction, and continuous wavelet transforms. Applied & Computational Harmonic Analysis, vol. 7, no. 1, July 1999, pp. 54-100.
Biomedicine: Human posture
316. Shimizu Yu. Thurner S. Ehrenberger K.: Multifractal spectra as a measure of complexity in human posture. Fractals-An Interdisciplinary J. on the Complex Geometry of Nature, vol. 10, no. 1, March 2002, pp. 103-16.
Chemistry
317. Leung AK. Foo-Tim Chau. Jun-Bin Gao.: A review on applications of wavelet transform techniques in chemical analysis: 1989-1997. Chemometrics & Intelligent Laboratory Systems, vol. 43, no. 1-2, 28 Sept. 1998, pp. 165-84.
318. Kokuer M., Murtagh F., McMillan ND., Riedel S., O’Rourke B., Beverly K., Augousti AT., Mason J.: A wavelet, Fourier, and PCA data analysis pipeline: Application to distinguishing mixtures of liquids. J. of Chemical Information & Computer Sciences, vol. 43, no. 2, March-April 2003, pp. 587-94.
Communications
319. Wornell GW.: Emerging applications of multirate signal processing and wavelets in digital communications. Proceedings of the IEEE, vol. 84, no. 4, April 1996, pp. 586-603.
320. Akansu AN. Tazebay MV. Medley MJ. Das PK.: Wavelet and subband transforms: fundamentals and communication applications. IEEE Communications Magazine, vol. 35, no. 12, Dec. 1997, pp. 104-15.
321. Weimin Yang, Guangguo Bi: Adaptive wavelet packet transform-based narrowband interference canceller in DSSS systems. Electronics Letters, vol. 33, no. 14, 3 July 1997, pp. 1189-90 (spread spectrum communication).
322. Riedi RH. Crouse MS. Ribeiro VJ. Baraniuk RG.: A multifractal wavelet model with application to network traffic. IEEE Transactions on Information Theory, vol. 45, no. 3, April 1999, pp. 992-1018.
323. Yolanda Tsang. Coates M. Nowak RD.: Network delay tomography. IEEE Trans. on Signal Processing, vol. 51, no. 8, Aug. 2003, pp. 2125-36.
Geophysics
324. Kumar P. Foufoula-Georgiou E.: Wavelet analysis for geophysical applications. Reviews of Geophysics, vol. 35, no. 4, Nov. 1997, pp. 385-412.
325. Clouet JF. Fouque JP. Postel M. Spectral analysis of randomly scattered signals using the wavelet transform. Wave Motion, vol. 22, no. 2, Sept. 1995, pp. 145-70.
326. Moreau F. Gibert D. Holschneider M. Saracco G.: Identification of sources of potential fields with the continuous wavelet transform: basic theory. Journal of Geophysical Research, vol. 104, no. B3, 10 March 1999, pp. 5003-13.
Physics
327. Greiner M. Lipa P. Carruthers P.: Wavelets: Some applications in physics. Complexity, vol. 2, no. 2, Nov.-Dec. 1996, pp. 31-6.
328. Arias TA.: Multiresolution analysis of electronic structure: semicardinal and wavelet bases. Reviews of Modern Physics, vol. 71, no. 1, Jan. 1999, pp. 267-311.
Radar
329. Special Issue IEE Proc. on Radar, Sonar and Navigation on “Time-frequency analysis for synthetic aperture radar and feature extraction”, vol. 150, no. 4, August 2003.
TF resolution
330. Zieliński T.P.: Joint Time-Frequency Resolution of Signal Analysis with Gabor Transform. IEEE Trans. on Instrumentation and Measurement, vol. 50, no. 5, 2001, pp. 1436-1444.

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