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Joint diagonalization of several scatter matrices for ICA.
In: Proceedings (10th international conference on Latent Variable Analysis and Signal Separation). Heidelberg: Springer, 2012. 172-179 (Lecture Notes in Computer Science ; 7191)
Procedures such as FOBI that jointly diagonalize two matrices with the independence property have a long tradition in ICA. These procedures have well-known statistical properties, for example they are prone to failure if the sources have multiple identical values on the diagonal. In this paper we suggest to diagonalize jointly k ≥ 2 scatter matrices having the independence property. For the joint diagonalization we suggest a novel algorithm which finds the correct direction in an deflation based manner, one after another. The method is demonstrated in a small simulation study.
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Publikationstyp
Artikel: Konferenzbeitrag
Herausgeber
Theis, F.J. ; Cichocki, A.* ; Yeredor, A* ; Zibulevsky, M.*
Schlagwörter
ICA; scatter matrix; independence porperty; joint diagonalization
ISBN
978-3-642-28550-9
Konferenztitel
10th international conference on Latent Variable Analysis and Signal Separation
Konferenzband
Proceedings
Quellenangaben
Band: 7191,
Seiten: 172-179
Reihe
Lecture Notes in Computer Science
Verlag
Springer
Verlagsort
Heidelberg
Nichtpatentliteratur
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