Blind source separation of convolved sources by joint approximate diagonalization of cross-spectral density matrices

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 5, Issue , 2001, Pages 2745-2748

  Rahbar, K ^a   Reilly, J P ^a  

^a MCMASTER UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; COMMUNICATION CHANNELS (INFORMATION THEORY); COMPUTER SIMULATION; CONVOLUTION; ESTIMATION; FIR FILTERS; MATRIX ALGEBRA; OPTIMIZATION; SIGNAL RECONSTRUCTION; SPEECH ANALYSIS; TIME DOMAIN ANALYSIS;

CROSS SPECTRAL DENSITY MATRICES; JOINT APPROXIMATE DIAGONALIZATION; TIME DOMAIN CHANNELS;

BLIND SOURCE SEPARATION;

EID: 0034847167     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

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9. Jacobi angles for simultaneous diagonalization
10. Approximate joint diagonalization using non-orthogonal matrices
11. Simultaneous diagnolization in frequency domain (sdif) for source separation
12. Blind beamforming for non Gaussian signals
13. Joint approximate diagonalization of positive definite hermitian matrices