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Impulsive Sound Detection Directly in Sigma-Delta Domain

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Recent implementations of Sigma-Delta (ΣΔ) converters have achieved low cost, low power consumption, and high integration while maintaining resolution as high as in Nyquist-rate converters. However, its usage implies demodulating the source signal delivered from ΣΔ modulation to Pulse-Code Modulation (PCM) on a pre-processing stage. This work proposes an algorithm based on Discrete Cosine Transform for impulsive signal detection to be applied directly on a modulated ΣΔ bitstream, targeting to reduce computational cost in acoustic event detection applications such as gunshot recognition systems. From pre-recorded impulsive sounds in ΣΔ format, it has been shown that the new method presents a similar error rate in comparison with traditional energy-based approaches in PCM, meanwhile, it reduces significantly the number of operations per unit time.
Rocznik
Strony
255--261
Opis fizyczny
Bibliogr. 17 poz., rys., tab., wykr.
Twórcy
  • Department of Industrial Engineering Postgraduate, Federal University of Bahia, 2 Aristides Novis Street, 6th Floor, Federação, Salvador, Bahia 40.210-630, Brazil
  • Department of Industrial Engineering Postgraduate, Federal University of Bahia, 2 Aristides Novis Street, 6th Floor, Federação, Salvador, Bahia 40.210-630, Brazil
Bibliografia
  • 1. Ahmed N., Natarajan T., Rao K. R. (1974), Discrete cosine transform, Computers, IEEE Transactions on, 100, 1, 90–93.
  • 2. Britanak V., Yip P. C., Rao K. R. (2010), Discrete cosine and sine transforms: general properties, fast algorithms and integer approximations, Academic Press.
  • 3. Chacón-Rodríguez A., Julián P., Castro L., Alvarado P., Hernandez N. (2011), Evaluation of gun-shot detection algorithms, Circuits and Systems I: Regular Papers, IEEE Transactions on, 58, 2, 363–373.
  • 4. Cheinet S., Broglin T. (2015), Sensitivity of shot detection and localization to environmental propagation, Applied Acoustics, 93, 97–105.
  • 5. Dufaux A. (2001), Detection and recognition of impulsive sounds signals, Institute de Microtechnique Neuchatel, Switzerland.
  • 6. Graves J. R. (2012), Audio gunshot detection and localization systems: history, basic design, and future possibilities, PhD thesis, University of Colorado.
  • 7. Ishimaru A. (1978), Wave propagation and scattering in random media, Vol. 2, Academic Press, New York.
  • 8. Kasparis T., Tzannes N. S., Chen Q. (1992), Detail-preserving adaptive conditional median filters, Journal of Electronic Imaging, 1, 4, 358–364.
  • 9. Kauppinen I. (2002), Methods for detecting impulsive noise in speech and audio signals, [in:] Digital Signal Processing, DSP 2002, 14th International Conference on, Vol. 2, pp. 967–970, IEEE.
  • 10. Khayam S. A. (2003), The Discrete Cosine Transform (DCT): theory and application, Michigan State University.
  • 11. Millet J., Baligand B. (2006), Latest achievements in gunfire detection systems, Technical report, DTIC Document.
  • 12. Oppenheim A. V., Schafer R. W., Buck J. R. (1989), Discrete-time signal processing, Vol. 2, Prentice Hall, Englewood Cliffs.
  • 13. Park S. (1991), Principles of sigma-delta modulation for analog-to-digital converters, Motorola Application Notes.
  • 14. Rao K. R., Yip P. (2014), Discrete cosine transform: algorithms, advantages, applications, Academic press.
  • 15. Sharkey J. B., Doblar R. A., Bothwell F. E., Belt R. A., Page E. A. (1996), System for effective control of urban environment security, US Patent 5,504,717.
  • 16. Showen R. L., Dunham J. W. (1999), Automatic real-time gunshot locator and display system, US Patent 5,973,998.
  • 17. Wessels P. W., Basten T. G. (2016), Design aspects of acoustic sensor networks for environmental noise monitoring, Applied Acoustics, 110, 227–234.
Uwagi
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-488ed8ae-3eca-4af6-9ef5-905b2f036395
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