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Proceedings Paper

A modified time-frequency filtering method based on generalized S transform
Author(s): Chaozhu Zhang; Yang Yang
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Paper Abstract

S transform is a non-destructive and reversible time-frequency analysis tool. It combines advantages of short-time Fourier transform and wavelet transform. Generalized S transform has adjustable time-frequency resolution, and it can achieve better results on signal analysis and processing. In this paper, a modified time-frequency filter based on generalized S transform is constructed. Firstly, a threshold filter is used to remove most of the external noise. Then we can determine the distribution of the effective signal and noise on the time-frequency plane in order to eliminate the high frequency noise. Finally, a weighted filter is constructed to enhance the effective signal and suppress the internal noise. Simulation results show that the noise can be effectively removed and signal to noise ratio has been significantly improved.

Paper Details

Date Published: 1 October 2011
PDF: 6 pages
Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 82857F (1 October 2011); doi: 10.1117/12.913524
Show Author Affiliations
Chaozhu Zhang, Harbin Engineering Univ. (China)
Yang Yang, Harbin Engineering Univ. (China)


Published in SPIE Proceedings Vol. 8285:
International Conference on Graphic and Image Processing (ICGIP 2011)
Yi Xie; Yanjun Zheng, Editor(s)

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