文档介绍：binedAdaptiveFilterwithLMS-BasedAlgorithmsBoˇzoKrstaji′c,LJubiˇsaStankovi′c,andZdravkoUskokovi′Abstract:Acombinedadaptive?-basedadaptiveFIR??lter,wetaketheratiobetweenbiasandvarianceoftheweightingcoef??rmtheadvantagesoftheproposedadaptive?:Adaptive?lter,binedalgorithm,Biasandvariancetrade-?ltershavebeenappliedinsignalprocessingandcontrol,aswellasinmanypracticalproblems,[1,2].Performanceofanadaptive?lterdependsmainlyonthealgorithmusedforupdatingthe?lterweightingcoef?(LMS)adaptivealgorithmanditsmodi?cations(LMS-basedalgorithms).TheLMSissimpleforimplementationandrobustinanumberofapplications[1–3].However,eptablemanner,therehavebeenmanyattemptstoimproveitsperformancebytheappropriatemodi?cations:signalgorithm(SA)[8],geometricmeanLMS(GLMS)[5],variablestep-sizeLMS(VSLMS)[6,7].EachoftheLMS-basedalgorithmshasatleastoneparameterthatshouldbede?nedpriortotheadaptationprocedure(stepforLMSandSA;LMS;variousparametersaffectingthestepforVSLMS).Theseparameterscruciallyin?uencethe?lteroutputduringtwoadaptationphases:--basedadaptive?,binationofseveralLMS-basedFIR?lterswithdifferentparameters,-basedalgorithms,-)]1()1()([?????andvectorofweightingcoef?cientsasTNkkWkWkWW)]()()([110???.ordi