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Joint Time-Frequency Analysis of Seismic Signals: A Critical Review

Roshan Kumar1,*, Wei Zhao1, Vikash Singh2

Miami College of Henan University, Henan, 475000, China.
Yokohama University, 24000, Japan.

*Corresponding Author: Roshan Kumar. Email: email.

Structural Durability & Health Monitoring 2018, 12(2), 65-83. https://doi.org/10.3970/sdhm.2018.02329

Abstract

This paper presents an evaluation of time-frequency methods for the analysis of seismic signals. Background of the present work is to describe, how the frequency content of the signal is changing in time. The theoretical basis of short time Fourier transform, Gabor transform, wavelet transform, S-transform, Wigner distribution, Wigner-Ville distribution, Pseudo Wigner-Ville distribution, Smoothed Pseudo Wigner-Ville distribution, Choi-William distribution, Born-Jordan Distribution and cone shape distribution are presented. The strengths and weaknesses of each technique are verified by applying them to a particular synthetic seismic signal and recorded real time earthquake data.

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APA Style
Kumar, R., Zhao, W., Singh, V. (2018). Joint time-frequency analysis of seismic signals: A critical review. Structural Durability & Health Monitoring, 12(2), 65-83. https://doi.org/10.3970/sdhm.2018.02329
Vancouver Style
Kumar R, Zhao W, Singh V. Joint time-frequency analysis of seismic signals: A critical review. Structural Durability Health Monit . 2018;12(2):65-83 https://doi.org/10.3970/sdhm.2018.02329
IEEE Style
R. Kumar, W. Zhao, and V. Singh "Joint Time-Frequency Analysis of Seismic Signals: A Critical Review," Structural Durability Health Monit. , vol. 12, no. 2, pp. 65-83. 2018. https://doi.org/10.3970/sdhm.2018.02329



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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