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《Journal of Chengdu University of Technology(Science & Technology Edition)》 2006-04
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Signal extracting and denoising based on generalized S transform

CHEN Xue-hua~1,HE Zhen-hua~(1,2),HUANG De-ji~(1)1.College of Information Engineering,Chengdu University of Technology,Chengdu 610059,China;2.State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation,Chengdu University of Technology,Chengdu 610059,China  
S transform(ST) combines the advantages of short time Fourier transform(STFT) and wavelet transform(WT).It is a powerful means for time-frequency analysis of non-stationary signal.In order to improve the practicability and adaptability of S transform in actual application,a generalized S transform(GST) whose time-frequency resolution can be adjustable is achieved by altering normal S transform.GST provides multiresolution analysis.Two time-frequency filters based on its excellent time-frequency distribution are presented.The first one can extract specific signal components and filter noise on the particular time-frequency plane.Another applied in filtering signal containing Gaussian white noise is computed directly by utilizing time-frequency spectrum of GST,which can enhance non-stationary signal and suppress noise.The simulation demonstrates that two filters based on GST are effective in signal extracting and denoising.
【Fund】: 国家自然科学基金资助项目(40474044)
【CateGory Index】: TN911.4
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