Approximate diagonalization approach to blind source separation with a subset of matrices

Proceedings - 7th International Symposium on Signal Processing and Its Applications, ISSPA 2003

Volumn 2, Issue , 2003, Pages 105-108

  Tomé, Ana Maria ^a   Lang, E W ^b  

^a UNIVERSITY OF AVEIRO   (Portugal)

^b UNIVERSITY OF REGENSBURG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

SIGNAL PROCESSING;

DIAGONALIZATION METHOD; DIAGONALIZATIONS; GENERALIZED EIGEN DECOMPOSITION; IDEAL MODEL; MATRIX PENCIL; ROBUST SOLUTIONS; SIMULTANEOUS DIAGONALIZATION;

BLIND SOURCE SEPARATION;

EID: 29444433457     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISSPA.2003.1224826     Document Type: Conference Paper

References (11)

1. A. Belouchrani, K. Abed-Meraim, J.-F. Cardoso, and E. Moulines. A blind source separation technique using secon-order statistics. IEEE Transactions on Signal Processing, 45(2):434-444, 1997.
2. J.-F. Cardoso and A. Souloumiac. Jacobi angles for simultaneous diagonalization. S1AM Journal Mat. Anal. Appl, 17(l):l61-l64, 1996.
3. C. Chang, Z. Ding, F. Y. Sze, and F. H. Chan. A matrix-pencil approach to blind source separation of colored nonstationary signals. IEEE Transactions on Signal Processing, 48(3):900-907, 2000.
4. A. Chichocki and S.-L Amari. Adaptive Blind Signal and Image Processing. Wiley, 2002.
5. A. Cichocki and A. Belouchrani. Source separation of temporally correlated source using bank of band pass filters. In 3rd International Conference on Independent Component Analysis and Signal Separation, pages 173-178, San Diego, USA, 2001.
6. N. Fliege. Multirate Digital Signal Processing. John Wiley Sons, 1994.
7. J. V. Stone. Blind source separation using temporal predictibility. Neural Computation, 13(7): 1557-1574, 2001.
8. A. M. Tome. An iterative eigendecomposition approach to blind source separation. In 3rd International Conference on Independent Component Analysis and Signal Separation, pages 424-428, San Diego, USA, 2001.
9. L. Tong, Y. Inouye, and R.-w. Liu. Waveform- preserving blind estimation of multiple independent sources. IEEE Transactions on Signal Processing, 41{7):2461-2470, 1993.
10. A. Yeredor. Non-orthogonal joint diagonalization in the least- squares sense with application in blind source separation. IEEE Transactions on Signal Processing, 52{7):1545-1553, 2002.
11. C. Ziegaus and E. Lang. Neural implementation of the jade algorithm. Lecture Notes in Computer Science, 1607:487-496, 1999.