Paper Info
Title
Improved Wigner-Ville distribution performance by signal decomposition and modified group delay
Abstract
A new approach has been proposed for improving the performance of the Wigner-Ville distribution. This approach is based on signal decomposition and modified magnitude group delay function. Signal decomposition achieved by perfect reconstruction filter bank reduces significantly the existence of crossterms. The Gibbs ripple effect is due to truncation of the Wigner-Ville distribution kernel. The modified magnitude group delay function overcomes this effect without applying any window. Compared to those of Pseudo Wigner-Ville distribution and its versions, the proposed method has significantly improved performance in both time and frequency resolution as there is no time and frequency smoothing. Further, this method obeys better the desirable properties of time-frequency representation and has a better noise immunity.
Year
DOI
Venue
2003
10.1016/j.sigpro.2003.07.011
Signal Processing
Keywords
Field
DocType
wigner–ville distribution,group delay,modified group delay,wigner-ville distribution kernel,gibbs ripple effect,improved performance,pseudo wigner-ville distribution,improved wigner-ville distribution performance,spectral estimation,better noise immunity,method obeys,perfect reconstruction filter banks,frequency resolution,modified magnitude group delay,gibbs ripple reduction,time–frequency distribution,frequency smoothing,wigner-ville distribution,signal decomposition,filter bank,reductive group,time frequency representation
Signal processing,Spectral density estimation,Wigner distribution function,Control theory,Reconstruction filter,Filter bank,Algorithm,Electronic engineering,Group delay and phase delay,Smoothing,Ripple,Mathematics
Journal
Volume
Issue
ISSN
83
12
Signal Processing
Citations 
PageRank 
References 
5
0.60
13
Authors
2
Name
Order
Citations
PageRank
S. V. Narasimhan19315.07
Malini B. Nayak281.06