DSP for MATLAB and LabVIEW, Volume IV: LMS Adaptive Filtering PDF
Preview DSP for MATLAB and LabVIEW, Volume IV: LMS Adaptive Filtering
DSP for ™ ™ MATLAB and LabVIEW Volume IV: LMS Adaptive Filtering SYNTHESIS LECTURES ON SIGNAL PROCESSING Editor JoséMoura,CarnegieMellonUniversity DSPforMATLAB™andLabVIEW™VolumeIV:LMSAdaptiveFiltering ForesterW.Isen 2009 DSPforMATLAB™andLabVIEW™ VolumeIII:DigitalFilterDesign ForesterW.Isen 2008 DSPforMATLAB™andLabVIEW™ VolumeII:DiscreteFrequencyTransforms ForesterW.Isen 2008 DSPforMATLAB™andLabVIEW™ VolumeI:FundamentalsofDiscreteSignalProcessing ForesterW.Isen 2008 TheTheoryofLinearPrediction P.P.Vaidyanathan 2007 NonlinearSourceSeparation LuisB.Almeida 2006 SpectralAnalysisofSignals YanweiWang,JianLi,andPetreStoica 2006 Copyright© 2009byMorgan&Claypool Allrightsreserved.Nopartofthispublicationmaybereproduced,storedinaretrievalsystem,ortransmittedin anyformorbyanymeans—electronic,mechanical,photocopy,recording,oranyotherexceptforbriefquotationsin printedreviews,withoutthepriorpermissionofthepublisher. ™ ™ DSPforMATLAB andLabVIEW VolumeIV:LMSAdaptiveFiltering ForesterW.Isen www.morganclaypool.com ISBN:9781598298994 paperback ISBN:9781598299007 ebook DOI10.2200/S00164ED1V01Y200811SPR007 APublicationintheMorgan&ClaypoolPublishersseries SYNTHESISLECTURESONSIGNALPROCESSING Lecture#7 SeriesEditor:JoséMoura,CarnegieMellonUniversity SeriesISSN SynthesisLecturesonSignalProcessing Print1932-1236 Electronic1932-1694 DSP for ™ ™ MATLAB and LabVIEW Volume IV: LMS Adaptive Filtering ForesterW.Isen SYNTHESISLECTURESONSIGNALPROCESSING#7 M &C Morgan &cLaypool publishers ABSTRACT This book is Volume IV of the series DSP for MATLAB™ and LabVIEW™. Volume IV is an introductorytreatmentofLMSAdaptiveFilteringandapplications,andcoverscostfunctions,per- formancesurfaces,coefficientperturbationtoestimatethegradient,theLMSalgorithm,response oftheLMSalgorithmtonarrow-bandsignals,andvarioustopologiessuchasANC(ActiveNoise Cancelling) or system modeling, Noise Cancellation, Interference Cancellation, Echo Cancella- tion (with single- and dual-H topologies),and Inverse Filtering/Deconvolution.The entire series consistsoffourvolumesthatcollectivelycoverbasicdigitalsignalprocessinginapracticalandac- cessiblemanner,butwhichnonethelessincludeallessentialfoundationmathematics.Astheseries title implies,the scripts (of which there are more than 200) described in the text and supplied in codeform(availableviatheinternetathttp://www.morganclaypool.com/page/isen)willrun on both MATLAB and LabVIEW.The text for all volumes contains many examples,and many useful computational scripts,augmented by demonstration scripts and LabVIEW Virtual Instru- ments(VIs)thatcanberuntoillustratevarioussignalprocessingconceptsgraphicallyontheuser’s computer screen.Volume I consists of four chapters that collectively set forth a brief overview of thefieldofdigitalsignalprocessing,usefulsignalsandconcepts(includingconvolution,recursion, difference equations, LTI systems, etc), conversion from the continuous to discrete domain and back (i.e., analog-to-digital and digital-to-analog conversion), aliasing, the Nyquist rate, normal- izedfrequency,samplerateconversion,andMu-lawcompression,andsignalprocessingprinciples includingcorrelation,thecorrelationsequence,theRealDFT,correlationbyconvolution,matched filtering,simpleFIRfilters,andsimpleIIRfilters.Chapter4ofVolumeI,inparticular,providesan intuitive or“first principle” understanding of how digital filtering and frequency transforms work. VolumeIIprovidesdetailedcoverageofdiscretefrequencytransforms,includingabriefoverviewof commonfrequencytransforms,bothdiscreteandcontinuous,followedbydetailedtreatmentsofthe DiscreteTime FourierTransform (DTFT),the z-Transform (including definition and properties, theinversez-transform,frequencyresponseviaz-transform,andalternatefilterrealizationtopolo- gies including Direct Form, Direct Form Transposed, Cascade Form, Parallel Form, and Lattice Form), and the Discrete FourierTransform (DFT) (including Discrete Fourier Series, the DFT- IDFTpair,DFTofcommonsignals,binwidth,samplingduration,andsamplerate,theFFT,the Goertzel Algorithm,Linear,Periodic,and Circular convolution,DFT Leakage,and computation of the Inverse DFT).Volume III covers digital filter design, including the specific topics of FIR designviawindowed-ideal-lowpassfilter,FIRhighpass,bandpass,andbandstopfilterdesignfrom windowed-ideal lowpass filters,FIR design using the transition-band-optimized Frequency Sam- pling technique (implemented by Inverse-DFT or Cosine/Sine Summation Formulas),design of equirippleFIRsofallstandardtypesincludingHilbertTransformersandDifferentiatorsviatheRe- mezExchangeAlgorithm,designofButterworth,Chebyshev(TypesIandII),andEllipticanalog prototypelowpassfilters,conversionofanaloglowpassprototypefilterstohighpass,bandpass,and bandstopfilters,andconversionofanalogfilterstodigitalfiltersusingtheImpulseInvarianceand vii BilinearTransform techniques.Certain filter topologies specific to FIRs are also discussed,as are twosimpleFIRtypes,theCombandMovingAveragefilters. KEYWORDS Higher-LevelTerms: LMS Adaptive Filter, Least Mean Square, Active Noise Cancellation (ANC), Deconvolution, Equalization, Inverse Filtering, Interference Cancellation, Echo Cancellation,Dereverberation,AdaptiveLineEnhancer(ALE) Lower-LevelTerms: Single-H, Dual-H, Gradient, Cost Function, Performance Surface, Coefficient Per- turbation This volume is dedicated to The following humane organizations,and all who work for them and support them: Rikki’s Refuge (www.rikkisrefuge.org),Orange,Virginia The Humane Society of Fairfax County (www.hsfc.org),Fairfax,Virginia The Washington Animal Rescue League (WARL) (www.warl.org), Washington,DC Angels for Animals (www.angelsforanimals.org),Youngstown,Ohio and all similar organizations and persons and to the feline companions who so carefully watched over the progress of the the entire series during its evolution over the past eight years: Richard (1985-2001) Blackwythe (1989-2001) Tiger (1995? - ) Mystique (2000 - ) Scampy (2002 - ) Nudgy (2003 - ) Percy (2004 - )
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