An Improved Time Frequency Analysis Method for Noisy Multi-Component Signals

Author

Rong, Haina ; Zhang, Gexiang ; Jin, Weidong

Author_Institution

Sch. of Electr. Eng., Southwest Jiaotong Univ., Chengdu, China

fYear

2007

fDate

24-27 Nov. 2007

Firstpage

500

Lastpage

503

Abstract

Analyzing time frequency (TF) distribution of multi-component signals with noise is an important issue in signal processing of many applications. S-method (SM) is an effective multi-component TF distribution and easy to implement, but it is sensitive to noise. Aiming at the characteristics of SM, a smoothed SM (SSM) time frequency analysis method is proposed to analyze the noisy signals. SSM is a trade-off between SM and spectrogram. It balances the noise-suppression ability and resolution through adding a smooth term. The most distinguishable advantage of SSM is that it is able to process the signals at low signal-to-noise ratio (SNR) effectively. Experimental results show that SSM strengthens the signal components and decreases the noise effectively, and SSM is superior to SM at low SNR.

Keywords

signal denoising; signal resolution; smoothing methods; statistical distributions; time-frequency analysis; SSM TF analysis method; analyzing time frequency distribution; noise-suppression ability; noisy multicomponent TF distribution; s-method; signal processing; signal resolution; smoothed S-method time frequency analysis method; spectrogram; Mechanical factors; Noise reduction; Samarium; Signal analysis; Signal processing; Signal resolution; Signal to noise ratio; Spectrogram; Testing; Time frequency analysis; S-method; Time frequency analysis; multi-component signal; noise; resolution;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Communications, 2007. ICSPC 2007. IEEE International Conference on

Conference_Location

Dubai

Print_ISBN

978-1-4244-1235-8

Electronic_ISBN

978-1-4244-1236-5

Type

conf

DOI

10.1109/ICSPC.2007.4728365

Filename

4728365