The Wigner-Ville trispectrum: definition and application

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The Wigner-Ville trispectrum: definition and application

Show simple item record Boashash, Boualem Ristich, Branko 2011-05-19T17:48:28Z 2011-05-19T17:48:28Z 1993
dc.identifier.citation IEEE Signal Processing Workshop on Higher-Order Statistics, 1993, Issue Date: 1993 On page(s): 260 - 264 en_US
dc.identifier.isbn 0-7803-1238-4
dc.description The Wigner-Ville trispectrum can represent FM signals in multiplicative noise, leading to an algorithm for IF estimation. A software package that calculates IF estimates and TFDs can be downloaded from the web site: en_US
dc.description.abstract The Wigner-Ville trispectrum (WVT) is defined as a member of a class of time-varying higher-order spectra based on the polynomial Wigner-Ville distributions. It is shown that the WVT is a very efficient time-frequency analysis method for the analysis of FM signals affected by multiplicative noise, and outperforms the Wigner-Ville spectrum (WVS), and therefore any other method based on Cohen's class of bilinear time-frequency spectra. The authors further consider the instantaneous frequency estimator based on the peak extraction of the WVT. They also develop the statistical properties of such an estimator, for signals affected by both multiplicative and additive Gaussian noise. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.subject FM signals en_US
dc.subject Wigner-Ville Trispectrum en_US
dc.subject additive Gaussian noise en_US
dc.subject instantaneous frequency estimator en_US
dc.subject multiplicative noise en_US
dc.subject peak extraction en_US
dc.subject polynomial Wigner-Ville distributions en_US
dc.subject statistical properties en_US
dc.subject time-frequency analysis method en_US
dc.subject time-varying higher-order spectra en_US
dc.subject instantaneous frequency estimation en_US
dc.subject IF estimation en_US
dc.subject Wigner-Ville spectrum en_US
dc.title The Wigner-Ville trispectrum: definition and application en_US
dc.type Article en_US

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