DocumentCode
1492036
Title
Generalized Matched Subspace Filter for Nonindependent Noise Based on ICA
Author
Moragues, J. ; Vergara, L. ; Gosálbez, J.
Author_Institution
Inst. de Telecomun. y Aplic. Multimedia (iTEAM), Univ. Politec. de Valencia, Valencia, Spain
Volume
59
Issue
7
fYear
2011
fDate
7/1/2011 12:00:00 AM
Firstpage
3430
Lastpage
3434
Abstract
We propose a generalization of the matched subspace filter for the detection of unknown signals in a background of non-Gaussian and nonindependent noise. The generalization is based on a modification of the Rao test by including a linear transformation derived from independent component analysis (ICA). Receiver operating characteristic (ROC) curves computed for simulated examples illustrate the significant improvement achieved with the generalized solution.
Keywords
independent component analysis; matched filters; signal detection; ICA; ROC curves; Rao test; generalized matched subspace filter; independent component analysis; linear transformation; nonGaussian noise; nonindependent noise; receiver operating characteristic curves; unknown signal detection; Detectors; Laplace equations; Random variables; Signal to noise ratio; Vectors; Independent component analysis (ICA); Rao test; matched subspace filter; non-Gaussian noise;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/TSP.2011.2141668
Filename
5746651
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