A prediction matrix approach to convolutive ICA

Neural Networks for Signal Processing - Proceedings of the IEEE Workshop

Volumn 2003-January, Issue , 2003, Pages 249-258

  Hansen, Lars Kai ^a   Dyrholm, Mads ^a  

^a TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

Author keywords

[No Author keywords available]

Indexed keywords

FORECASTING; INDEPENDENT COMPONENT ANALYSIS; MATRIX ALGEBRA;

CONVOLUTIVE ICA; CONVOLUTIVE INDEPENDENT COMPONENT ANALYSIS; DECONVOLUTION PROBLEM; INSTANTANEOUS MIXING; LINEAR PREDICTION APPROACHES; LINEAR PREDICTION PROBLEMS; MATRIX APPROACH; MATRIX COEFFICIENTS;

SIGNAL PROCESSING;

EID: 84891321355     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NNSP.2003.1318024     Document Type: Conference Paper

References (19)

1. H. Attias and C. E. Schreiner, "Blind source separation and deconvolu-tion: The dynamic component analysis algorithm, " Neural Computation, vol. 10, no. 6, pp. 1373-1424, 1998.
2. L. Parrà, C. Spence, and B. D. Vries, "Convolutive blind source separation based on multiple decorrelationin IEEE Workshop on Neural Networks and Signal Processing, Cambridge, UK, September 1998, pp. 23-32, 1998.
3. L. Parrà and C. Spence, "Convolutive blind source separation of non-stationary sources, " IEEE Trans, on Speech and Audio Processing, vol. 8, pp. 320-327, 2000.
4. K. Rahbar and J. Reilly, "Blind source separation of convolved sources by joint approximate diagonalization of cross-spectral density matrices, " in 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing, pp. 2745-2748, 2001.
5. K. Rahbar, J. P. Reilly. and J. H. Manton, "A frequency domain approach to blind identification of mimo fir systems driven by quasi-stationary signals, " in 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing, pp. 1717-1720, 2002.
6. W. Baumann. B.-U. Kohler, D. Kolossa, and R. Orglmeister, "Real time separation of convolutive mixtures, " in 3"rd International Conference on ICA. Eds. T-W. Lee et ai, pp. 65-69, San Diego December 2001 2001.
7. K. Torkkola, "Blind separation of convolved sources based on information maximization, " in IEEE Workshop on Neural Networks for Signal Processing, Kyoto, Japan, pp. 423-432, September 4-6 1996.
8. A. Belouchram, K. A. Meraini; J.-F. Cardoso, and Éric Moulines, "A blind source separation technique based on second order statistics, " IEEE Trans, on Signal Processing, vol. 42, pp. 434-444, 1997.
9. S. Choi and A. Cichocki, "Blind signal deconvolution by spatio- temporal decorrelation and demixing, " in Neural Networks for Signal Processing, Proc. of the 1997 IEEE Workshop (NNSP-97), IEEE Press, NY. 1997, pp. 426-435, 1997.
10. S. Douglas, A. Cichocki, and S. Amari, "Self-whitening algorithms for adaptive equalization and deconvolution, " IEEE Trans, on Signal Processing, vol. 47, pp. 1161-1165, 1999.
11. R. Cristescu, T. Ristaniemi, J. Joutsensalo, and J. Karhunen, "Blind separation of convolved mixtures for cdma systems, " in Proc. of the X European Signal Processing Conference (EUSIPCO 2000), Tampere, Finland, pp. 619-622, 2000.
12. P. Comon, E. Moreau, and L. Rota, "Blind separation of convolutive mixtures: A constrast based joint diagonalization appraoch, " in 3'rd International Conference on ICA. Eds. T-W. Lee et al., pp. 686-691, San Diego December 2001 2001.
13. X. Sun and S. Douglas, "A natural gradient convolutive blind source separation algorithms for speech mixtures, " in 3'rd International Conference on ICA. Eds. T-W. Lee et al., pp. 59-64, San Diego December 2001 2001.
14. E. Moulines, J.-F. Cardoso, and E. Gassiat, "Maximum likelihood for blind separation and deconvolution of noisy signals using mixture models, " in Proc. ICASSP'97 Munich, pp. 3617-3620, 1997.
15. S. Deligne and R. Gopinath, "An em algorithm for convolutive independent component analysis, " p. To appear, 2002.
16. L, Molgedey and H. Schuster, "Separation of a mixture of independent signals using time delayed correlation, " Physical Review Letters, vol. 72, pp. 3634-3637, 1994.
17. A. S. Lukic, M. N. Wernick, L. K. Hansen, and S. C. Strother, "An ica algorithm for analyzing multiple data sets, " in IEEE 2002 Int. Conf. on Image Processing (ICIP-2002) (M. T. et al, ed.), IEEE, 2002.
18. L. K. Hansen, K. Larsen, and T. Kolenda, "On independent component analysis for multimedia signals, " in Multimedia Image and Video Processing, CRC Press (S. K. L. Guan and J. Larsen, eds.), pp. 175-199, 2000.
19. T. Bell and T. Sejnowski, "An information maximisation approach to blind separation and blind deconvolution, " Neural Computation, vol. 7, pp. 1129-1159, 1995.