IJCATR Volume 9 Issue 4

Whitening Processing of Seismic Signal Spectrum Based on SSGST

Shulin Zheng
10.7753/IJCATR0904.1002
keywords : synchrosqueezing generalized S transform; spectral whitening; high resolution; seismic signal; data processing

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In order to avoid the problem that single-domain spectral whitening cannot improve the time-frequency accuracy of seismic signals at the same time, this paper proposes a time-frequency domain spectral whitening based on synchrosqueezing generalized S transform(SSGST). First, the SSGST is used to perform time-frequency analysis on the seismic signal to obtain the time-frequency spectrum of the seismic signal. Then the whitening filter is used to perform spectral whitening on the time-frequency spectrum to obtain a seismic signal with higher time-frequency resolution. The verification of synthetic seismic signals and actual seismic signals proves that spectral whitening based on SSGST can simultaneously improve the time-frequency resolution of seismic signals, make the stratum information clearer, and have great significance for high-resolution processing of seismic signals.
@artical{s942020ijcatr09041002,
Title = "Whitening Processing of Seismic Signal Spectrum Based on SSGST",
Journal ="International Journal of Computer Applications Technology and Research (IJCATR)",
Volume = "9",
Issue ="4",
Pages ="130 - 132",
Year = "2020",
Authors ="Shulin Zheng"}