DocumentCode
310626
Title
Two-channel blind deconvolution for non-minimum phase impulse responses
Author
Furuya, Ken´ichi ; Kaneda, Yutaka
Author_Institution
NTT Human Interface Labs., Tokyo, Japan
Volume
2
fYear
1997
fDate
21-24 Apr 1997
Firstpage
1315
Abstract
A new blind deconvolution method is proposed for recovering an unknown source signal, which is observed through two unknown channels characterized by non-minimum phase impulse response filters. Conventional methods cannot estimate the non-minimum phase parts. Our method is based on computing the eigenvector corresponding to the smallest eigenvalue of the input correlation matrix and using a cost function to determine the order of the impulse response filter model. Multi-channel inverse filtering with the estimated impulse responses is used to recover the unknown source signal. Sub-band processing is also used to reduce the complexity of dealing with long impulse responses such as room impulse responses. Computer simulation shows that the effectiveness of our method
Keywords
acoustic signal processing; architectural acoustics; correlation methods; deconvolution; eigenvalues and eigenfunctions; filtering theory; matrix algebra; reverberation; speech processing; telecommunication channels; transient response; computer simulation; cost function; eigenvalue; eigenvector; impulse response filter model; input correlation matrix; microphones; multichannel inverse filtering; nonminimum phase impulse responses; room impulse responses; source signal recovery; speech signal; subband processing; two channel blind deconvolution; two channel reverberant signals; Cost function; Deconvolution; Eigenvalues and eigenfunctions; Filtering; Finite impulse response filter; Humans; Laboratories; Microphones; Phase estimation; Speech;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Conference_Location
Munich
ISSN
1520-6149
Print_ISBN
0-8186-7919-0
Type
conf
DOI
10.1109/ICASSP.1997.596188
Filename
596188
Link To Document