Polar coordinate based nonlinear function for frequency-domain blind source separation

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

Volumn 1, Issue , 2002, Pages

  Sawada, Hiroshi ^a   Mukai, Ryo ^a   Araki, Shoko ^a   Makino, Shoji ^a  

^a NTT Communication Science Laboratories   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

FREQUENCY DOMAIN SIGNAL; NONLINEAR FUNCTION; SPEECH SIGNALS;

ALGORITHMS; DISCRETE FOURIER TRANSFORMS; FREQUENCY DOMAIN ANALYSIS; INDEPENDENT COMPONENT ANALYSIS; PROBABILITY DENSITY FUNCTION; SPEECH PROCESSING;

BLIND SOURCE SEPARATION;

EID: 17544395704     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. An information-maximization approach to blind separation and blind deconvolution
2. Natural gradient works efficiently in learning
3. Blind separation of convolved mixtures in the frequency domain
4. A method of ICA in time-frequency domain
5. Evaluation of blind signal separation method using directivity pattern under reverberant conditions
6. A combined approach of array processing and independent component analysis for blind separation of acoustic signals
7. Nonholonomic orthogonal learning algorithm for blind source separation
8. A polar-coordinate based activation function for frequency domain blind source separation