• 数字信号处理实践方法
  • 数字信号处理实践方法
  • 数字信号处理实践方法
  • 数字信号处理实践方法
  • 数字信号处理实践方法
  • 数字信号处理实践方法
  • 数字信号处理实践方法
  • 数字信号处理实践方法
  • 数字信号处理实践方法
  • 数字信号处理实践方法
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数字信号处理实践方法

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作者[英]艾费科 著

出版社电子工业出版社

出版时间2003-08

版次1

装帧平装

货号B173

上书时间2024-05-13

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图书标准信息
  • 作者 [英]艾费科 著
  • 出版社 电子工业出版社
  • 出版时间 2003-08
  • 版次 1
  • ISBN 9787505389281
  • 定价 89.00元
  • 装帧 平装
  • 开本 16开
  • 纸张 胶版纸
  • 页数 933页
  • 字数 1350千字
  • 正文语种 英语
【内容简介】
  《数字信号处理实践方法(第二版)》根据实际工程应用和具体实例,详细介绍了数字信号处理(DSP)领域内的基本概念和相关技术。全书共分为14章,首先讲解了DSP的基本概念及其应用,并从实际的例子出发,阐述了DSP的一些基本内容,如信号的抽样、量化及其在实时DSP上的内涵。然后,作者介绍了离散变换(DFT和FFT),离散时间信号与系统分析的工具(z变换),以及DSP的基本运算(相关和卷积),并分析了数字滤波器设计的实际问题。《数字信号处理实践方法(第二版)》还介绍了多抽样率数字信号处理、自适应数字滤波器、谱估计及其分析等现代数字信号处理理论,最后讨论了通用和专用数字信号处理器、定点DSP系统有限字长效应分析及DSP的应用和设计实例。另外,书中还提供了有关范例和实验的MATLAB实现方法。
  《数字信号处理实践方法(第二版)》可作为通信与电子信息类专业高年级本科生和研究生的教材或教学参考书,而且对于相关学科的工程技术人员也具有很好的参考价值。
【作者简介】
  EmmanuelC.Ifeachor:智能电子系统方向的教授,英国普利茅斯大学通信、网络和信息系统研究中心主任。
  BarrivW.Jervis:英国SheffieldHallam大学电子工程系教授。
【目录】
1introduction
1.1digitalsignalprocessinganditsbenefts
1.2applicationareas
1.3keydspoperations
1.3.1convolution
1.3.2correlation
1.3.3digitalfitering
1.3.4discretetransformation
1.3.5modulation
1.4digitalsignalprocessors
1.5overviewofreal-worldapplicationsofdsp
1.6audioapplicationsofdsp
1.6.1digitalaudiomixing
1.6.2speechsynthesisandrecognition
1.6.3thecompactdiscdigitalaudiosystem
1.7telecommunicationapplicationsofdsp
1.7.1digitalcellularmobiletelephony
1.7.2.set-topboxfordigitaltelevisionreception
1.7.3adaptivetelephoneechocancellation
1.8biomedicalapplicationsofdsp
1.8.1fetalecgmonitoring
1.8.2dsp-basedclosedloopcontrolledanaesthesia
1.9summary
problems
references
bibliography

2analogi/ointerfaceforreal-timedspsystems
2.1typicalreal-timedspsystems
2.2analog-to-digitalconversionprocess
2.3sampling-iowpassandbandpasssignals
2.3.1samplingiowpasssignals
2.3.2samplingbandpasssignals
2.4uniformandnon-uniformquantizationandencoding
2.4.1uniformquantizationandencoding(linearpulsecodemodulation(pcm))
2.4.2non-uniformquantizationandencoding(nonlinearpcm)
2.5oversamplinginaidconversion
2.5.1introduction
2.5.20versamplingandanti-aliasingfltering
2.5.30versamplingandadcresolution
2.5.4anapplicationofoversampling-single-bit(oversampling)adc
2.6digital-to-analogconversionprocess:signalrecovery
2.7thedac
2.8anti-imagingfltering
2.9oversamplingind/aconversion
2.9.10versamplingd/aconversioninthecdplayer
2.10constraintsofreal-timesignalprocessingwithanaloginput/outputsignals
2.11applicationexamples
2.12summary
problems
references
bibliography

3discretetransforms
3.1introduction
3.1.1fourierseries
3.1.2thefouriertransform
3.2dftanditsinverse
3.3propertiesofthedft
3.4computationalcomplexityofthedft
3.5thedecimation-in-timefastfouriertransformalgorithm
3.5.1thebutterfly
3.5.2algorithmicdevelopment
3.5.3computationaladvantagesofthefft
3.6inversefastfouriertransform
3.7implementationofthefft
3.7.1thedecimation-in-frequencyfft
3.7.2comparisonofditanddifalgorithms
3.7.3modificationsforincreasedspeed
3.8otherdiscretetransforms
3.8.1discretecosinetransform
3.8.2walshtransform
3.8.3hadamardtransform
3.8.4wavelettransform
3.8.5multiresolutionanalysisbythewaveletmethod
3.8.6signalrepresentationbysingularities:thewavelettransformmethod
3.9anapplicationofthedct:imagecompression
3.9.1thediscretecosinetransform
3.9.22ddctcoeffi:ientquantization
3.9.3coding
3.10workedexamples
problems
references
appendices
3aclanguageprogramfordirectdftcomputation
3bcprogramforradix-2decimation-in-timefft
3cdftandfftwithmatlabreferencesforappendices

4thez-transformanditsapplicationsinsignalprocessing
4.1discrete-timesignalsandsystems
4.2thez-transform
4.3theinversez-transform
4.3.1powerseriesmethod
4.3.2partialfractionexpansionmethod
4.3.3residuemethod
4.3.4comparisonoftheinversez-transformmethods
4.4propertiesofthez-transform
4.5someapplicationsofthez-transforminsignalprocessing
4.5.1pole-zerodescriptionofdiscrete-timesystems
4.5.2frequencyresponseestimation
4.5.3geometricevaluationoffrequencyresponse
4.5.4directcomputerevaluationoffrequencyresponse
4.5.5frequencyresponseestimationviafft
4.5.6frequencyunitsusedindiscrete-timesystems
4.5.7stabilityconsiderations
4.5.8differenceequations
4.5.9impulseresponseestimation
4.5.10applicationsindigitalfiterdesign
4.5.11realizationstructuresfordigitalfiters
4.6summary
problems
references
bibliography
appendices
4arecursivealgorithmfortheinversez-transform
4bcprogramforevaluatingtheinversez-transformandforcascade-to-parallelstructureconversion
4ccprogramforestimatingfrequencyresponse
4dz-transformoperationswithmatlabreferencesforappendices

5correlationandconvolution
5.1introduction
5.2correlationdescription
5.2.1cross-andautocorrelation
5.2.2applicationsofcorrelation
5.2.3fastcorrelation
5.3convolutiondescription
5.3.1propertiesofconvolution
5.3.2circularconvolution
5.3.3systemidentification
5.3.4deconvolution
5.3.5blinddeconvolution
5.3.6fastlinearconvolution
5.3.7computationaladvantagesoffastlinearconvolution
5.3.8convolutionandcorrelationbysectioning
5.3.9overlap-addmethod
5.3.10overlap-savemethod
5.3.11computationaladvantagesoffastconvolutionbysectioning
5.3.12therelationshipbetweenconvolutionandcorrelation
5.4implementationofcorrelationandconvolution
5.5applicationexamples
5.5.1correlation
5.5.2convolution
5.6summary
problems
references
appendix
5aclanguageprogramforcomputingcross-andautocorrelation

6aframeworkfordigitalfiterdesign
6.1introductiontodigitalfiters
6.2typesofdigitalfiters:firandiirfiters
6.3choosingbetweenfirandiirfiters
6.4filterdesignsteps
6.4.1specifcationofthefiterrequirements
6.4.2coefficientcalculation
6.4.3representationofafiterbyasuitablestructure(realization)
6.4.4analysisoffhitewordlengtheffects
6.4.5implementationofafiter
6.5illustrativeexamples
6.6summary
problems
reference
bibliography

7finiteimpulseresponse(fir)fiterdesign
7.1introduction
7.1.1summaryofkeycharacteristicfeaturesoffirfilters
7.1.2linearphaseresponseanditsimplications
7.1.3typesoflinearphasefirflters
7.2firfiterdesign
7.3firfiterspecif'cations
7.4fircoefficientcalculationmethods
7.5windowmethod
7.5.1somecommonwindowfunctions
7.5.2summaryofthewindowmethodofcalculatingfirfltercoeffi:ients
7.5.3advantagesanddisadvantagesofthewindowmethod
7.6theoptimalmethod
7.6.1basicconcepts
7.6.2parametersrequiredtousetheoptimalprogram
7.6.3relationshipsforestimatingfiterlength,n
7.6.4summaryofprocedureforcalculatingfltercoeffi:ientsbytheoptimalmethod
7.6.5illustrativeexamples
7.7frequencysamplingmethod
7.7.1nonrecursivefrequencysamplingflters
7.7.2recursivefrequencysamplingflters
7.7.3frequencysamplingflterswithsimplecoeffi:ients
7.7.4summaryofthefrequencysamplingmethod
7.8comparisonofthewindow,optimumandfrequencysamplingmethods
7.9specialfirfiterdesigntopics
7.9.1half-bandfirfiters
7.9.2frequencytransformation
7.9.3computationallyefficientfirflters
7.10realizationstructuresforfirfiters
7.10.1transversalstructure
7.10.2linearphasestructure
7.10.3otherstructures
7.10.4choosingbetweenstructures
7.11finitewordlengtheffectsinfirdigitalfiters
7.11.1coefficientquantizationerrors
7.11.2roundofferrors
7.11.3overfbwerrors
7.12firimplementationtechniques
7.13designexample
7.14summary
7.15applicationexamplesoffirflters
problems
references
bibliography
appendices
7acprogramsforfirflterdesign
7bfirfiterdesignwithmatlab

8designofinfhiteimpulseresponse(iir)digitalflters
8.1introduction:summaryofthebasicfeaturesofiirfiters
8.2designstagesfordigitaliirfiters
8.3performancespecification
8.4coeff'cientcalculationmethodsforiirfiters
8.5pole-zeroplacementmethodofcoeffcientcalculation
8.5.1basicconceptsandillustrativedesignexamples
8.6impulseinvariantmethodofcoefficientcalculation
8.6.1basicconceptsandillustrativedesignexamples
8.6.2summaryoftheimpulseinvariantmethod
8.6.3remarksontheimpulseinvariantmethod
8.7matchedz-transform(mzt)methodofcoeffcientcalculation
8.7.1basicconceptsandillustrativedesignexamples
8.7.2summaryofthematchedz-transformmethod
8.7.3remarksonthematchedz-transformmethod
8.8bilinearz-transform(bzt)methodofcoeffcientcalculation
8.8.1basicconceptsandillustrativedesignexamples
8.8.2summaryofthebztmethodofcoeff'cientcalculation
8.8.3commentsonthebilineartransformationmethod
8.9useofbztandclassicalanalogfiterstodesigniirfiters
8.9.1characteristicfeaturesofclassicalanalogflters
8.9.2thebztmethodologyusingclassicalanalogfiters
8.9.3illustrativedesignexamples(iowpass,highpass,bandpassandbandstopfiters)
8.10calculatingiirfitercoefircientsbymappings-planepolesandzeros
8.10.1basicconcepts
8.10.2illustrativeexamples
8.11usingiirflterdesignprograms
8.12choiceofcoeffcientcalculationmethodsforiirflters
8.12.1nyquisteffect
8.13realizationstructuresforiirdigitalfiters
8.13.1practicalbuildingblocksforiirfiters
8.13.2cascadeandparallelrealizationstructuresforhigher-orderiirfiters
8.14finitewordlengtheffectsiniirfiters
8.14.1coefficientquantizationerrors
8.15implementationofiirfiters
8.16adetaileddesignexampleofaniirdigitalflter
8.17summary
8.18applicationexamplesindigitalaudioandinstrumentation
8.18.1digitalaudio
8.18.2digitalcontrol
8.18.3digitalfrequencyoscillators
8.19applicationexamplesintelecommunication
8.19.1touch-tonegenerationandreceptionfordigitaltelephones
8.19.2digitaltelephony:dualtonemultifrequency(dtmf)detectionusingthegoertzelalgorithm
8.19.3clockrecoveryfordatacommunication
problems
references
bibliography
appendices
8acprogramsforiirdigitalfiterdesign
8biirflterdesignwithmatlab
8cevaluationofcomplexsquarerootsusingrealarithmetic

9multiratedigitalsignalprocessing
9.1introduction
9.1.1somecurrentusesofmultirateprocessinginindustry
9.2conceptsofmultiratesignalprocessing
9.2.1samplingratereduction:decimationbyintegerfactors
9.2.2samplingrateincrease:interpolationbyintegerfactors
9.2.3samplingrateconversionbynon-integerfactors
9.2.4multistageapproachtosamplingrateconversion
9.3designofpracticalsamplingrateconverters
9.3.1filterspecircation
9.3.2filterrequirementsforindividualstages
9.3.3determiningthenumberofstagesanddecimationfactors
9.3.4illustrativedesignexamples
9.4softwareimplementationofsamplingrateconverters-decimators
9.4.1programformultistagedecimation
9.4.2testexampleforthedecimationprogram
9.5softwareimplementationofinterpolators
9.5.1programformultistageinterpolation
9.5.2testexample
9.6samplerateconversionusingpolyphaseflterstructure
9.6.1polyphaseimplementationofinterpolators
9.7applicationexamples
9.7.1highqualityanalog-to-digitalconversionfordigitalaudio
9.7.2effcientdigital-to-analogconversionincompacthi-fisystems
9.7.3applicationintheacquisitionofhighqualitydata
9.7.4multiratenarrowbanddigitalfitering
9.7.5highresolutionnarrowbandspectralanalysis
9.8summary
problems
references
bibliography
appendices
9acprogramsformultirateprocessingandsystemsdesign
9bmultiratedigitalsignalprocessingwithmatlab

10adaptivedigitalfiters
10.1whentouseadaptivefitersandwheretheyhavebeenused
10.2conceptsofadaptivefitering
10.2.1adaptivefitersasanoisecanceller
10.2.2otherconfigurationsoftheadaptiveflter
10.2.3maincomponentsoftheadaptivefiter
10.2.4adaptivealgorithms
10.3basicwienerfitertheory
10.4thebasiclmsadaptivealgorithm
10.4.1implementationofthebasiclmsalgorithm
10.4.2practicallimitationsofthebasiclmsalgorithm
10.4.3otherlms-basedalgorithms
10.5recursiveleastsquaresalgorithm
10.5.1recursiveleastsquaresalgorithm
10.5.2limitationsoftherecursiveleastsquaresalgorithm
10.5.3factorizationalgorithms
10.6applicationexample1-adaptiveflteringofocularartefactsfromthehumaneeg
10.6.1thephysiologicalproblem
10.6.2artefactprocessingalgorithm
10.6.3real-timeimplementation
10.7applicationexample2-adaptivetelephoneechocancellation
10.8otherapplications
10.8.1loudspeakingtelephones
10.8.2multipathcompensation
10.8.3adaptivejammersuppression
10.8.4radarsignalprocessing
10.8.5separationofspeechsignalsfrombackgroundnoise
10.8.6fetalmonitoring-cancellingofmatemalecgduringlabour
problems
references
bibliography
appendices
10aclanguageprogramsforadaptivefltering
10bmatlabprogramsforadaptivefitering

11spectrumestimationandanalysis
11.1introduction
11.2principlesofspectrumestimation
11.3traditionalmethods
11.3.1pitfalls
11.3.2windowing
11.3.3theperiodogrammethodandperiodogramproperties
11.3.4modifiedperiodogrammethods
11.3.5theblackman-tukeymethod
11.3.6thefastcorrelationmethod
11.3.7comparisonofthepowerspectraldensityestimationmethods
11.4modernparametricestimationmethods
11.5autoregressivespectrumestimation
11.5.1autoregressivemodelandflter
11.5.2powerspectrumdensityofarseries
11.5.3computationofmodelparameters-yule-walkerequations
11.5.4solutionoftheyule-walkerequations
11.5.5modelorder
11.6comparisonofestimationmethods
11.7applicationexamples
11.7.1useofspectralanalysisbyadftfordifferentiatingbetweenbraindiseases
11.7.2spectralanalysisofeegsusingautoregressivemodelling
11.8summary
11.9workedexample
problems
references
appendix
11amatlabprogramsforspectrumestimationandanalysis

12general-andspecial-purposedigitalsignalprocessors
12.1introduction
12.2computerarchitecturesforsignalprocessing
12.2.1harvardarchitecture
12.2.2pipelining
12.2.3hardwaremultiplier-accumulator
12.2.4specialinstructions
12.2.5replication
12.2.6on-chipmemory/cache
12.2.7extendedparallelism-simd,vliwandstaticsuperscalarprocessing
12.3general-purposedigitalsignalprocessors
12.3.1fixed-pointdigitalsignalprocessors
12.3.2floating-pointdigitalsignalprocessors
12.4selectingdigitalsignalprocessors
12.5implementationofdspalgorithmsongeneral-purposedigitalsignalprocessors
12.5.1firdigitalfltering
12.5.2iirdigitalfltering
12.5.3fftprocessing
12.5.4multirateprocessing
12.5.5adaptivefltering
12.6special-purposedsphardware
12.6.1hardwaredigitalfiters
12.6.2hardwarefftprocessors
12.7summary
problems
references
bibliography
appendix
12atms320assemblylanguageprogramsforreal-timesignalprocessingandaclanguageprogramforconstantgeometryradix-2fft

13analysisoffhitewordlengtheffectsinfixed-pointdspsystems
13.1introduction
13.2dsparithmetic
13.2.1fixed-pointarithmetic
13.2.2floating-pointarithmetic
13.3adcquantizationnoiseandsignalquality
13.4finitewordlengtheffectsiniirdigitalflters
13.4.1infljenceoffiterstructureonfnitewordlenstheffects
13.4.2coeffcientquantizationerrorsiniirdigitalflters
13.4.3coeffcientwordlengthrequirementsforstabilityanddesiredfrequencyresponse
13.4.4additionoverfbwerrorsandtheireffects
13.4.5principlesofscaling
13.4.6scalingincascaderealization
13.4.7scalinginparallelrealization
13.4.8outputoverflowdetectionandprevention
15.4.9productroundofferrorsiniirdigitalflters
13.4.10effectsofroundofferrorsonflterperformance
13,4.11roundoffnoiseincascadeandparallelrealizations
13.4,12effectsofproductroundoffnoiseinmoderndspsystems
13.4.13rouncloffnoisereductionschemes
13.4,14determiningpracticalvaluesforerrorfeedbackcoefficients
13.4.15limitcyclescluetoproductroundofferrors
13.4.16othernonlinearphenomena
13.5finitewordlengtheffectsinfftalgorithms
13.5.1roundofferrorsinfft
13.5.2overfbwerrorsandscalinginfft
13.5.3coeffi:ientquantizationinfft
13.6summary
problems
references
bibliography
appendices
13afinitewordlengthanalysisprogramforiirflters
13bl2scalingfactorequations

14applicationsanddesignstudies
14.1evaluationboardsforreal-timesignalprocessing
14.1.]backsround
14.1.2tms320c10targetboard
14.1.3dsp56002evaluationmoduleforreal-timedsp
14.1.4tms320c54anddsp56300evaluationboards
14.2dspapplications
14.2.1detectionoffetalheartbeatsduringlabour
14.2.2adaptiveremovalofocularartefactsfromhumanergs
14.2.3equalizationofdigitalaudiosignals
14.3designstudies
14.4computer-basedmultiplechoicedspquestions
14.5summary
problems
references
bibliography
appendix
14athemodifiedudfactorizationalgorithm
index
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