A modified time-frequency filtering method based on generalized S transform

Chaozhu Zhang; Yang Yang

doi:10.1117/12.913524

1 October 2011 A modified time-frequency filtering method based on generalized S transform

Chaozhu Zhang, Yang Yang

Proceedings Volume 8285, International Conference on Graphic and Image Processing (ICGIP 2011); 82857F (2011) https://doi.org/10.1117/12.913524
Event: 2011 International Conference on Graphic and Image Processing, 2011, Cairo, Egypt

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.

Citation Download Citation

Chaozhu Zhang and Yang Yang "A modified time-frequency filtering method based on generalized S transform", Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 82857F (1 October 2011); https://doi.org/10.1117/12.913524

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