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Journal Article

New eigensystem-based method for blind source separation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2004) 3195 33-40
DOI: 10.1007/978-3-540-30110-3_5
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Abstract

In this paper, it is presented an algorithm to construct a cumulant matrix that has a well-separated extremal eigenvalue. The corresponding eigenvector is well-conditioned and could be used to develop robust algorithms for blind source extraction. Simulations demonstrate the effectiveness of the proposed approach. © Springer-Verlag 2004.

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APA

Martín-Clemente, R., Hornillo-Mellado, S., Puntonet, C. G., & Acha, J. I. (2004). New eigensystem-based method for blind source separation. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3195, 33–40. https://doi.org/10.1007/978-3-540-30110-3_5

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