The random Wigner distribution of Gaussian stochastic processes with covariance in S0(ℝ2d)

The paper treats time-frequency analysis of scalar-valued zero mean Gaussian stochastic processes on ℝd. We prove that if the covariance function belongs to the Feichtinger algebra S0(ℝ2d) then: (i) the Wigner distribution and the ambiguity function of the process exist as finite variance stochastic...

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Main Author: Patrik Wahlberg
Format: Article
Language:English
Published: Wiley 2005-01-01
Series:Journal of Function Spaces and Applications
Online Access:http://dx.doi.org/10.1155/2005/252415
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author Patrik Wahlberg
author_facet Patrik Wahlberg
author_sort Patrik Wahlberg
collection DOAJ
description The paper treats time-frequency analysis of scalar-valued zero mean Gaussian stochastic processes on ℝd. We prove that if the covariance function belongs to the Feichtinger algebra S0(ℝ2d) then: (i) the Wigner distribution and the ambiguity function of the process exist as finite variance stochastic Riemann integrals, each of which defines a stochastic process on ℝ2d, (ii) these stochastic processes on ℝ2d are Fourier transform pairs in a certain sense, and (iii) Cohen's class, ie convolution of the Wigner process by a deterministic function Φ∈C(ℝ2d), gives a finite variance process, and if Φ∈S0(ℝ2d) then W∗Φ can be expressed multiplicatively in the Fourier domain.
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institution Kabale University
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series Journal of Function Spaces and Applications
spelling doaj-art-e9cc0276a53e4c26848145f13f0fa4c02025-02-03T01:02:41ZengWileyJournal of Function Spaces and Applications0972-68022005-01-013216318110.1155/2005/252415The random Wigner distribution of Gaussian stochastic processes with covariance in S0(ℝ2d)Patrik Wahlberg0Department of Electroscience, Lund University, Box 118, SE-22100 Lund, SwedenThe paper treats time-frequency analysis of scalar-valued zero mean Gaussian stochastic processes on ℝd. We prove that if the covariance function belongs to the Feichtinger algebra S0(ℝ2d) then: (i) the Wigner distribution and the ambiguity function of the process exist as finite variance stochastic Riemann integrals, each of which defines a stochastic process on ℝ2d, (ii) these stochastic processes on ℝ2d are Fourier transform pairs in a certain sense, and (iii) Cohen's class, ie convolution of the Wigner process by a deterministic function Φ∈C(ℝ2d), gives a finite variance process, and if Φ∈S0(ℝ2d) then W∗Φ can be expressed multiplicatively in the Fourier domain.http://dx.doi.org/10.1155/2005/252415
spellingShingle Patrik Wahlberg
The random Wigner distribution of Gaussian stochastic processes with covariance in S0(ℝ2d)
Journal of Function Spaces and Applications
title The random Wigner distribution of Gaussian stochastic processes with covariance in S0(ℝ2d)
title_full The random Wigner distribution of Gaussian stochastic processes with covariance in S0(ℝ2d)
title_fullStr The random Wigner distribution of Gaussian stochastic processes with covariance in S0(ℝ2d)
title_full_unstemmed The random Wigner distribution of Gaussian stochastic processes with covariance in S0(ℝ2d)
title_short The random Wigner distribution of Gaussian stochastic processes with covariance in S0(ℝ2d)
title_sort random wigner distribution of gaussian stochastic processes with covariance in s0 r2d
url http://dx.doi.org/10.1155/2005/252415
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