DocumentCode
1929593
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.
Volume
1
fYear
2006
fDate
16-20 2006
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, 2006 8th International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-9736-3
Electronic_ISBN
0-7803-9736-3
Type
conf
DOI
10.1109/ICOSP.2006.344485
Filename
4128821
Link To Document