一种解决盲分离和盲信号去卷积的信息最大化方法-外文翻译

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1、英文原文Aninformation・maximisationapproachtoblindseparationandblinddeconvolutionAnthonyJ.BellandTerrenceJ.SejnowskiComputationalNeurobiologyLaboratoryTheSalkInstitute100010N.TorreyPinesRoadLaJolla,California92037AbstractWederiveanewself-organisinglearningalgorithmwhichmaximisestheinfor-mationtransferre

2、dinanetworkofnon-linearunits.Thealgorithmdoesnotassumeanyknowledgeoftheinputdistributions,andisdefinedhereforthezero-noiselimit.Undertheseconditions,informationmaximisationhasextrapropertiesnotfoundinthelinearcase(Linsker1989).Thenon-linearitiesinthetransferfunctionareabletopickuphigher-ordermoment

3、softheinputdistributionsandperformsomethingakintotrueredundancyreductionbetweenunitsintheoutputrepresentation.Thisenable-sthenetworktoseparatestatisticallyindependentcomponentsintheinputs:ahigher-ordergeneralisationofPrincipalComponentsAnalysis.Weapplythenetworktothesourceseparation(orcocktailparty

4、)problem,succe-ssfullyseparatingunknownmixturesofuptotenspeakers.Wealsoshowthatavari-antonthenetworkarchitectureisabletoperformblinddeconvolution(cancellationofunknownechoesandreverberationinaspeechsignal).Finally,wederivedepend-enciesofinformationtransferontimedelays.Wesuggestthatinformationmaximi

5、-sationprovidesaunifyingframeworkforproblemsin'blind'signalprocessing.1IntroductionThispaperpresentsaconvergenceoftwolinesofresearch.Thefirst,thedevelopme-ntofinformationtheoreticunsupervisedlearningrulesforneuralnetworkshasbeenpioneeredbyLinsker1992,Becker&Hinton1992,Atick&Redlich1993,Plumble-y&Fa

6、llside1988andothers.Thesecondistheuse,insignalprocessing,ofhigher-orderstatistics,forseparatingoutmixturesofindependentsources(blindsep・aration)orreversingtheeffectofanunknownfilter(blinddeconvolution).Methodsexistforsolvingtheseproblems,butitisfairtosaythatmanyofthemareadhoc.Theliteraturedisplaysa

7、diversityofapproachesandjustifications一forhistoricalre-viewssee(Comon1994)and(Haykin1994a).Inthispaper,wesupplyacommontheoreticalframeworkfortheseproblemsthroughtheuseofinformation-theoreticobjectivefunctio