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7、ᯠ¹öᵨßàᦪTᑖ᪆,ᦪt^ᔠb▣,ᯠ¹ឮᙠᣚ:ḄᑖQ,}¸᪀³ᑮḄ» 。ᐵ:ᑖQᑖ᪆;ᑖ;⊤ÿ;îûᜓýᐺ;ßàᦪ;wx万方数据AbstractAbstractInreallife,thetechnologyofblindsourceseparationiswidelyappliedinmanyactualfieldsofhuman-computerinteraction,suchas,speechsignalsseparation,conferencecalls,sonar,radarprocessing,imageen
8、hancement,biomedicalsignalprocessing,wirelesscommunicationsremotesensing.Theresearchonblindsourceseparationhasbeentheforefrontofresearchtopicsinthefieldofsignalprocessing.IndependentComponentAnalysisisthemostrepresentativealgorithmofBlindSourceSeparationtechniques.However,Indepe
9、ndentComponentAnalysisAlgorithmrequirethatsourcesignalsareindependence,andthemixingmatrixisfullcolumnrank.Inpracticalapplications,theseconstraintsoftencannotbesatisfied,andthenumberoftheobservedsignalsislessthanthenumberofsourcesignals.SoIndependentComponentAnalysisAlgorithmisno
10、longerapplicable,andtheunderdeterminedblindsour