Title
Signal separation by integrating adaptive beamforming with blind deconvolution
Abstract
In this paper, we present a broadband two-microphone blind spatial separation technique by efficiently combining adaptive beam-forming (ABF) with multichannel blind deconvolution (MBD). First, the inaccessible source signal streams are partially identified by simple time-delay steering and then are spatially separated through an MBD structure. The proposed spatio-temporal ABF-MBD algorithm exhibits fast convergence properties and high computational efficiency. Numerical experiments illustrate the practical appeal of the proposed method in separating convolutive mixtures of speech within nearly anechoic and also highly reverberant enclosures.
Year
Venue
Keywords
2007
ICA
high computational efficiency,convergence property,signal separation,adaptive beamforming,mbd structure,inaccessible source signal stream,adaptive beam-forming,broadband two-microphone blind spatial,convolutive mixture,multichannel blind deconvolution,proposed spatio-temporal abf-mbd algorithm,blind deconvolution
Field
DocType
Volume
Convergence (routing),Adaptive beamformer,Blind deconvolution,Computer science,Algorithm,Speech recognition,Broadband,Anechoic chamber,Blind signal separation,Source separation
Conference
4666
ISSN
ISBN
Citations 
0302-9743
3-540-74493-2
0
PageRank 
References 
Authors
0.34
8
2
Name
Order
Citations
PageRank
Kostas Kokkinakis1676.63
Philipos C. Loizou299171.00