Title :
The Wigner-Ville Distribution and the Cross Wigner-Ville Distribution of Noisy Signals
Author :
Guanghua, Chen ; Shiwei, Ma ; Tinghao, Qin ; Jian, Wang ; Jialin, Cao
Author_Institution :
Sch. of Mechatronics & Autom., Shanghai Univ.
Abstract :
The Wigner-Ville distribution (WVD) and the cross Wigner-Ville distribution (XWVD) have been shown to be efficient in the estimation of instantaneous frequency (IF). But the statistical result of the IF estimation from XWVD peak is much better than using WVD peak. The reason is given in the paper from a statistical point of view. Theoretical studies show that XWVD of the analyzed signal can be estimated from XWVD of the noise-contaminated signal. The estimation is unbiased, and the variance is equal to that of noise. In this case, WVD cannot be estimated from WVD of the noise-contaminated signal. Therefore higher SNR is required when WVD is used to analyze signals
Keywords :
Wigner distribution; frequency estimation; signal processing; Wigner-Ville distribution; cross Wigner-Ville distribution; instantaneous frequency estimation; noise-contaminated signal; noisy signals; signal analysis; Amplitude modulation; Automation; Chirp modulation; Energy resolution; Frequency estimation; Mechatronics; Signal analysis; Signal resolution; Signal to noise ratio; Time frequency analysis;
Conference_Titel :
Signal Processing, 2006 8th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9736-3
Electronic_ISBN :
0-7803-9736-3
DOI :
10.1109/ICOSP.2006.344485