Analysis of FM signals affected by Gaussian AM using the reduced Wigner-Ville trispectrum

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Analysis of FM signals affected by Gaussian AM using the reduced Wigner-Ville trispectrum

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dc.contributor.author Boashash, Boualem
dc.contributor.author Ristich, B
dc.date.accessioned 2011-05-05T05:28:41Z
dc.date.available 2011-05-05T05:28:41Z
dc.date.issued 1993
dc.identifier.citation icassp, vol. 4, pp.408-411 en_US
dc.identifier.other Digital Object Identifier: 10.1109/ICASSP.1993.319681
dc.identifier.uri http://hdl.handle.net/10576/10679
dc.description This paper presents a solution to the problem of estimating the instantaneous frequency in the presence of multiplicative noise. en_US
dc.description.abstract A novel time-frequency analysis method for FM signals affected by multiplicative and additive noise is proposed. The method, referred to as the reduced Wigner-Ville trispectrum (RWVT), is a member of a class of time-varying polyspectra based on polynomial Wigner-Ville distributions (WVD) (B. Boashash and P. O'Shea, 1991). It is shown that the RWVT outperforms the Wigner-Ville distribution, and therefore any other method based on the Cohen's class of bilinear time frequency distributions (TFDs), for the class of signals considered. In addition, the authors present the statistical properties of an instantaneous frequency estimator based on the peak of the RWVT, and compare them with the properties of the estimator based on the peak of the WVD. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.subject FM signals en_US
dc.subject Gaussian AM en_US
dc.subject multiplicative noise en_US
dc.subject Wigner-Ville Trispectrum en_US
dc.subject time-varying polyspectra en_US
dc.subject polynomial Wigner-Ville distribution en_US
dc.subject instantaneous frequency estimation en_US
dc.subject WVD en_US
dc.title Analysis of FM signals affected by Gaussian AM using the reduced Wigner-Ville trispectrum en_US
dc.type Article en_US

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