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Knowledge-Aided Covariance Matrix Estimation and Adaptive Detection in Compound-Gaussian Noise | IEEE Journals & Magazine | IEEE Xplore

Knowledge-Aided Covariance Matrix Estimation and Adaptive Detection in Compound-Gaussian Noise


Abstract:

Let x be a signal to be sparsely decomposed over a redundant dictionary A, i.e., a sparse coefficient vector s has to be found such that x = As. It is known that this pro...Show More

Abstract:

Let x be a signal to be sparsely decomposed over a redundant dictionary A, i.e., a sparse coefficient vector s has to be found such that x = As. It is known that this problem is inherently unstable against
Published in: IEEE Transactions on Signal Processing ( Volume: 58, Issue: 10, October 2010)
Page(s): 5391 - 5396
Date of Publication: 14 June 2010

ISSN Information:

Dipartimento di Ingegneria Innovazione, Università del Salento, Lecce, Italy
Départment Electronique Optronique Signal, ISAE, Université de Toulouse, Toulouse, France
Dipartimento di Ingegneria Innovazione, Università del Salento, Lecce, Italy

Dipartimento di Ingegneria Innovazione, Università del Salento, Lecce, Italy
Départment Electronique Optronique Signal, ISAE, Université de Toulouse, Toulouse, France
Dipartimento di Ingegneria Innovazione, Università del Salento, Lecce, Italy
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