On estimating the Instantaneous Frequency of a Gaussian Random Signal by Use of the Wigner-Ville Distribution

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On estimating the Instantaneous Frequency of a Gaussian Random Signal by Use of the Wigner-Ville Distribution

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dc.contributor.author White, Langford B
dc.contributor.author Boashash, Boualem
dc.date.accessioned 2011-04-24T05:44:52Z
dc.date.available 2011-04-24T05:44:52Z
dc.date.issued 1988-03
dc.identifier.citation IEEE Transactions on Acoustics, Speech, and Signal Processing, Vol. 36, No. 3, pp. 417-420 en_US
dc.identifier.issn 0096-3518
dc.identifier.uri http://hdl.handle.net/10576/10659
dc.description This paper considers the problem of estimating the instantaneous frequency of a Gaussian random signal using the WVD via an orthogonal decomposition of the signal covariance matrix. en_US
dc.description.abstract The form of the one-dimensional probability distribution function for the Wigner-Ville, or evolutive spectrum, and the instantaneous frequency of a Gaussian random process is derived by use of an orthogonal decomposition of the process covariance matrix. No narrowband assumptions are made. Natural estimators for the evolution spectrum and the instantaneous frequency are defined, and the form of the distribution functions is derived. The properties of these estimators are examined with particular reference to the effects of windowing operations used in the calculation. The usefulness of the results is indicated, and examples are presented. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.subject Instantaneous Frequency estimation en_US
dc.subject WVD en_US
dc.subject Wigner-Ville Distribution en_US
dc.subject non-stationary processes en_US
dc.subject WVD eigenvalue decomposition en_US
dc.subject Gaussian random signal en_US
dc.title On estimating the Instantaneous Frequency of a Gaussian Random Signal by Use of the Wigner-Ville Distribution en_US
dc.type Article en_US

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