Low-rank approximation based multichannel wiener filter algorithms for noise reduction with application in cochlear implants

IEEE Transactions on Audio, Speech and Language Processing

Volumn 22, Issue 4, 2014, Pages 785-799

  Serizel, Romain ^a,b   Moonen, Marc ^b   Van Dijk, Bas ^c   Wouters, Jan ^d  

^a ITC IRST   (Italy)

^b Katholieke Universiteit Leuven   (Belgium)

^c Research and Development   (Belgium)

^d KU LEUVEN UNIVERSITY OF LEUVEN   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION ALGORITHMS; APPROXIMATION THEORY; AUTOCORRELATION; COCHLEAR IMPLANTS; EIGENVALUES AND EIGENFUNCTIONS; FREQUENCY DOMAIN ANALYSIS; SIGNAL TO NOISE RATIO; SPEECH; SPEECH COMMUNICATION; ADAPTIVE FILTERS; ALGORITHMS; SPEECH ENHANCEMENT;

AUTOCORRELATION MATRIX; EIGENVALUE DECOMPOSITION; FREQUENCY DOMAINS; GENERALIZED EIGENVALUE DECOMPOSITION; LOW RANK APPROXIMATIONS; MULTICHANNEL WIENER FILTER; NOISE REDUCTION FILTERS; NON-STATIONARITIES;

AUDIO SIGNAL PROCESSING; SIGNAL DENOISING;

EID: 84898061336     PISSN: 15587916     EISSN: None     Source Type: Journal    
DOI: 10.1109/taslp.2014.2304240     Document Type: Article

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