A Modified Time-frequency Filtering Method Based on Generalized S Transform

摘要：

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, ? 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.

关键词： non-stationary signal generalized S transform time-frequency filtering denoislng

作者: Zhang Chaozhu Yang Yang

作者单位: Information and Communication Departmen Harbin Engineering University Harbin, China Information and Communication Department Harbin Engineering University Harbin, China

会议类型: 国际会议

会议名称: 2010 International Conference on Signal and Information Processing(2010年IEEE信号与信息处理国际会议 ICSIP2010)

会议地点: 长沙

会议语种:英文

页码: 693-696

在线出版日期: 2010-12-14（万方平台首次上网日期，不代表论文的发表时间）