MASSIT - Multiresolution analysis of signal subspace invariance technique: A novel algorithm for blind source separation

Conference Record of the Asilomar Conference on Signals, Systems and Computers

Volumn 1, Issue , 2001, Pages 819-823

  Oweiss, Karim G ^a   Anderson, David J ^a  

^a UNIVERSITY OF MICHIGAN   (United States)

Author keywords

Array processing; Blind source separation; Wavelet transform

Indexed keywords

ALGORITHMS; AMPLITUDE MODULATION; BANDPASS FILTERS; BLIND SOURCE SEPARATION; INVARIANCE; PARALLEL PROCESSING SYSTEMS; WAVELET TRANSFORMS;

MULTIRESOLUTION ANALYSIS; SIGNAL SUBSPACE INVARIANCE;

SIGNAL PROCESSING;

EID: 0035574541     PISSN: 10586393     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/acssc.2001.987038     Document Type: Conference Paper

References (7)

1. A new technique for blind source separation using subband subspace analysis in correlated multichannel signal environments
2. Performance of planar multisite microprobes in recording extracellular activity
3. MASSIT-multiresolution analysis of signal subspace invariance technique
4. A multiresolution generalized maximum likelihood approach for the detection of unknown transient multichannel signals with colored noise of unknown covariance
5. A new approach to array denoising
6. Entropy based algorithms for best basis selection