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Nonstationary signals-resolution annalysis based on generalized S transform

Yubo Duan, Jing Sun, Jicheng Liu

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Abstract

Seismic signal is a kind of non-stationary signals. Using time-frequency analysis to process seismic signal could reserve the primary information maximally and accurately analyze the characteristics of the data in time-frequency domain. At present, there are many kinds of time-frequency analysis methods applied to seismic data processing. The comparison of time-frequency analysis methods in this paper, he results show that S transform is feasibility and effectiveness in the seismic signal processing. And on this basis, the comparison between S transform and generalized S transform show that generalized S transform is an effective method for the non-stationary signals processing.

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What this paper is about

Seismic signal is a kind of non-stationary signals. Using time-frequency analysis to process seismic signal could reserve the primary information maximally and accurately analyze the characteristics of the data in time-frequency domain. At present, there are many kinds of time-frequency analysis methods applied to seismic data processing. The comparison of time-frequency analysis methods in this paper, he results show that S transform is feasibility and effectiveness in the seismic signal processing. And on this basis, the comparison between S transform and generalized S transform show that generalized S transform is an effective method for the non-stationary signals processing.

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Available abstract

Seismic signal is a kind of non-stationary signals. Using time-frequency analysis to process seismic signal could reserve the primary information maximally and accurately analyze the characteristics of the data in time-frequency domain. At present, there are many kinds of time-frequency analysis methods applied to seismic data processing. The comparison of time-frequency analysis methods in this paper, he results show that S transform is feasibility and effectiveness in the seismic signal processing. And on this basis, the comparison between S transform and generalized S transform show that generalized S transform is an effective method for the non-stationary signals processing.

Key concepts: Time–frequency analysis, Signal processing, S transform, Computer science, Constant Q transform, SIGNAL (programming language), Frequency domain, Algorithm

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