Time-frequency analysis and pattern recognition using singular value decomposition of the Wigner-Ville distribution

Boashash B., Lovell B. and White L. (1988) Time-frequency analysis and pattern recognition using singular value decomposition of the Wigner-Ville distribution. Proceedings of SPIE - The International Society for Optical Engineering, 826 104-114. doi:10.1117/12.942021


Author Boashash B.
Lovell B.
White L.
Title Time-frequency analysis and pattern recognition using singular value decomposition of the Wigner-Ville distribution
Journal name Proceedings of SPIE - The International Society for Optical Engineering   Check publisher's open access policy
ISSN 1996-756X
Publication date 1988-01-21
Sub-type Article (original research)
DOI 10.1117/12.942021
Volume 826
Start page 104
End page 114
Total pages 11
Subject 2604 Applied Mathematics
2504 Electronic, Optical and Magnetic Materials
3104 Condensed Matter Physics
2208 Electrical and Electronic Engineering
1706 Computer Science Applications
Abstract Time-Frequency analysis based on the Wigner-Ville Distribution (WVD) is shown to be optimal for a class of signals where the variation of instantaneous frequency is the dominant characteristic. Spectral resolution and instantaneous frequency tracking is substantially improved by using a Modified WVD (MWVD) based on an Autoregressive spectral estimator. Enhanced signal-to-noise ratio may be achieved by using 2D windowing in the Time-Frequency domain. The WVD provides a tool for deriving descriptors of signals which highlight their FM characteristics. These descriptors may be used for pattern recognition and data clustering using the methods presented in this paper.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Unknown

Document type: Journal Article
Sub-type: Article (original research)
Collection: Scopus Import - Archived
 
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Created: Tue, 16 Aug 2016, 13:34:54 EST by System User