Application of S-transform to signal analysis

• Autorzy: Szymczyk P. , Szymczyk M.

Identyfikatory

DOI

10.1515/bams-2015-0028

• Języki publikacji: EN

Abstrakty

EN

This paper presents opportunities of signal analysis using S-transform. Images of the module and the angle of S-transform show the results. These images may be used as models to compare with unknown signals and to detect patterns and anomalies, even in very sophisticated signals.

Słowa kluczowe

EN

analysis; signal; S-transform

• Wydawca: Uniwersytet Jagielloński - Collegium Medicum ; Index Copernicus Sp. z o.o.
• Czasopismo: Bio-Algorithms and Med-Systems
• Rocznik: 2015
• Tom: Vol. 11, no. 4
• Strony: 223--229
• Opis fizyczny: Bibliogr. 7 poz., rys., wykr.

Twórcy

autor

Szymczyk P.

• The Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, Department of Automatics and Biomedical Engineering, AGH University of Science and Technology, al. A. Mickiewicza 30, Kraków 30-059, Poland

autor

Szymczyk M.

• The Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, Department of Automatics and Biomedical Engineering, AGH University of Science and Technology, Kraków, Poland

Bibliografia

• 1. Stockwell RG. A basis for efficient representation of the S-transform. Dig Signal Process 2007;17:371–93.
• 2. Stockwell R. Why use the S-transform. AMS Pseudo-differential operators: Partial differential equations and time-frequency analysis 2007;52:279–309.
• 3. Leonowicz Z, Łobos T, Woźniak K. Analysis of nonstationary electric signals using the S-transform. International Conference on Fundamentals of Electrotechnics and Circuit Theory, 2005.
• 4. Szymczyk P, Szymczyk M. Non-destructive building investigation by the analysis of GPR signal by S-transform. Automation in Construction 2015;55:35–46.
• 5. Szymczyk P, Marcak H, Tomecka-suchoń S, Szymczyk M, Gajer M, Gołębiowski T. Computer processing and analysis of ground-penetrating radar data. Kraków: Wydawnictwo Naukowe IAE, 2015.
• 6. Das MK, Ari S. ECG beats classification using mixture of features. Int Sch Res Notices 2014;2014:1–12.
• 7. Agrawal JP, Vijay R. Time-frequency filtering with the S-transform of ECG. Int J Sci Res Pub 2013;3:1–5.