Simple LU and QR based non-orthogonal matrix joint diagonalization

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3889 LNCS, Issue , 2006, Pages 1-7

  Afsari, Bijan ^a  

^a UNIVERSITY OF MARYLAND   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; GENETIC ALGORITHMS; OPTIMIZATION;

DIAGONALIZATION; DIMENSIONAL MINIMIZATION PROBLEMS; JACOBI-TYPE ALGORITHMS; ORTHOGONAL MATRIX;

COMPUTER SCIENCE;

EID: 33745697546     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11679363_1     Document Type: Conference Paper

References (8)

1. B. Afsari, P.S. Krishnaprasad: A Novel Non-orthogonal Joint Diagonalization Cost Function for ICA, ISR technical report, 2005(Available at:http://techreports.isr.umd.edu/reports/2005/TR_2005-106.pdf)
2. B. Afsari: Gradient Flow Based Matrix Joint Diagonalization for Independent Componenet Analysis, MS Thesis, ECE Department, University of Maryland, College Park, May 2004.(Available at: http://techreports.isr.umd.edu/ reports/2004/MS_2004-4.pdf)
3. B. Afsari, P.S. Krishnaprasad: Some Gradient Based Joint Diagonalization Methods for ICA, in C. G.Puntonet and A. Prieto(ed's), Proceedings of ICA 2004, Springer LNCS series, Vol. 3195, pp 437-444, 2004
4. J.F. Cardoso and A. Soulumiac:Blind Beamforming For Non-Gauusian Signals, IEE-Proceedings, Vol.140, No 6, Dec 1993
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6. D.T. Pham and J.F. Cardoso: Blind separation of instantaneous mixtures of non stationary sources, IEEE Trans. Signal Processing, pp 1837-1848, vol 49, no 9, 2001
7. A. Yeredor: Non-Orthogonal Joint Diagonalization in the Least-Squares Sense With Application in Blind Source Separation, IEEE Transactions on Signal Processing, Vol 50, No.7.July 2002.
8. A. Ziehe, M. Kawanabe, S. Harmeling, and K.-R. Mller: A Fast Algorithm for Joint Diagonalization with Non-orthogonal Transformations and its Application to Blind Source Separation. Journal of Machine Learning Research; 5(Jul):801-818, 2004