Editor/Reviewer loginFrequency : 12 issues per year
Subject : Computer Applications and Technology
ISSN : 2319–8656 (Online)
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
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"}
In order to improve the accuracy of seismic data analysis, a new high-resolution processing method is proposed
This method combines the simultaneous extrusion generalized S transform and spectral whitening algorithm
The amplitude of the seismic signal is compensated in the time-frequency domain to improve the signal resolution
The actual seismic signal verification proves that this method has practical significance in seismic data processing.