Independent vector analysis: Definition and algorithms

Conference Record - Asilomar Conference on Signals, Systems and Computers

Volumn , Issue , 2006, Pages 1393-1396

  Kim, Taesu ^a   Lee, Intae ^b   Lee, Te Won ^b  

^a Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

^b UNIVERSITY OF CALIFORNIA SAN DIEGO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTICS; BLIND SOURCE SEPARATION; HEMODYNAMICS; INDEPENDENT COMPONENT ANALYSIS; ISOMERS; MATHEMATICAL TECHNIQUES; MATHEMATICAL TRANSFORMATIONS; MIXING; MODAL ANALYSIS; PROBABILITY; RANDOM PROCESSES; RISK ASSESSMENT; SEPARATION; SOLUTIONS; TREES (MATHEMATICS);

ACOUSTIC SIGNALS; ACOUSTIC SOURCES; DENSITY MODELING; ENGINEERING SOLUTIONS; FREQUENCY-DOMAIN (FD); ICA ALGORITHMS; INDEPENDENCE (PERSONALITY); INDEPENDENT COMPONENT ANALYSIS (ICA); KULLBACK LEIBLER DIVERGENCE (KLD); LINEAR MIXING MODEL (LMM); NEW APPROACHES; OUTPUT SIGNALS; PERMUTATION (PERM); PERMUTATION PROBLEMS; RANDOM VECTORS; SOUND SOURCES; SOURCE SIGNALS; TOTAL JOINT; UNIVARIATE; VARIANCE DEPENDENCIES; VECTOR ANALYSIS; VECTOR REPRESENTATION (VREP);

VECTORS;

EID: 47049108191     PISSN: 10586393     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACSSC.2006.354986     Document Type: Conference Paper

References (8)

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