A generalized ICA algorithm

In this paper, we consider the source separation problem through a block algorithm based on the maximization of contrast functions. We propose a new contrast with parameterized cross-cumulants. It allows us to put three classical contrasts in a common framework. Following the same spirit of the inde...

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Bibliographic Details
Published inIEEE signal processing letters Vol. 7; no. 4; pp. 90 - 92
Main Authors Stoll, B., Moreau, E.
Format Journal Article
LanguageEnglish
Published New York IEEE 01.04.2000
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Institute of Electrical and Electronics Engineers
Subjects
Algorithm design and analysis
Algorithms
Blocking
Computer simulation
Engineering Sciences
Independent component analysis
Jacobian matrices
Mathematical analysis
Mathematical models
Matrix decomposition
Maximization
Reactive power
Signal and Image processing
Signal processing
Source separation
Statistical analysis
Statistics
Vectors
Online AccessGet full text
ISSN1070-9908
1558-2361
1558-2361
DOI10.1109/97.833006

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Summary:In this paper, we consider the source separation problem through a block algorithm based on the maximization of contrast functions. We propose a new contrast with parameterized cross-cumulants. It allows us to put three classical contrasts in a common framework. Following the same spirit of the independent component analysis (ICA) algorithm, we derive the analytical solution for the case of two sources. Finally, a computer simulation is performed to illustrate the behavior of a Jacobi-like algorithm for the maximization of the new contrast.
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ISSN:1070-9908
1558-2361
1558-2361
DOI:10.1109/97.833006