标题：数字信号处理原理、算法与应用(影印版)
版权信息
书 名: 数字信号处理原理、算法与应用（影印版) 
作　者：(美国)伯卡斯等著
出版社： 中国电力出版社
出版时间：2006 
ISBN: 9787508324999
开本： 16
定价: 89.00 元
内容简介
本书特点：
·覆盖离散傅立叶变换（DFT）和快速傅立叶变换（FFT）算法，并对其进行了更加合理清晰的重组——介绍DFT，并在阐明傅立叶分析后描述其快速计算
·描述模拟信号模数转换中涉及的运算和技术
·在时域研究线性时不变离散时间系统和离散时间信号的特性
·考虑双边z变换和单边z变换，并描述了求z反变换的方法
·在频域分析信号与系统，给出连续时间信号与离散时间信号的傅立叶级数与傅立叶变换
·实现无限冲激响应（IIR）与有限冲激响应（FIR）系统的结构形式，包括直接型、级联型、并联型、格型和格梯型
·采样频率转换基础与多采样率转换系统
·功率谱估计的详细测试，并讨论了非参数方法、基于模型的方法和基于特征分解的方法，包括MUSIC算法和ESPRIT算法
·全书囊括了许多实例，并提供大约500个可解决的问题
本书既适合作为本科生学习离散系统和数字信号处理课程的教材，又适合研究生一年级学习数字信号处理课程时作为教材使用。
作者简介
JohnG.Proakis长期担任美国东北大学的电气工程教授，并担任该校电气与计算机工程系主任之职达14年之久。他分别从麻省理工学院和哈佛大学获得了硕士和博士学位。Proakis教授是众多成功教材的作者，其教材在世界上具有相当的影响力。
目录
PREFACE
1INTRODUCTION
1.1Signals,Systems,andSignalProcessing
1.1.1BasicElementsofaDigitalSignalProcessingSystem
1.1.2AdvantagesofDigitaloverAnalogSignalProcessing
1.2ClassificationofSignals
1.2.1MultichannelandMultidimensionalSignals
1.2.2Continuous-TimeVersusDiscrete-TimeSignals
1.2.3Continuous-ValuedVersusDiscrete-ValuedSignals
1.2.4DeterministicVersusRandomSignals
1.3TheConceptofFrequencyinContinuous-TimeandDiscrete-TimeSignals
1.3.1Continuous-TimeSinusoidalSignals
1.3.2Discrete-TimeSinusoidalSignals
1.3.3HarmonicallyRelatedComplexExponentials
1.4Analog-to-DigitalandDigital-to-AnalogConversion
1.4.1SamplingofAnalogSignals
1.4.2TheSamplingTheorem
1.4.3QuantizationofContinuous-AmplitudeSignals
1.4.4QuantizationofSinusoidalSignals
1.4.5CodingofQuantizedSamples
1.4.6Digital-to-AnalogConversion
1.4.7AnalysisofDigitalSignalsandSystemsVersusDiscrete-TimeSignalsandSystems
1.5SummaryandReferences
Problems
2DISCRETE-TIMESIGNALSANDSYSTEMS
2.1Discrete-TimeSignals
……
2.2Discrete-TimeSystems
2.3AnalysisofDiscrete-TimeLinearTime-InvariantSystems
2.4Discrete-TimeSystemsDescribedbyDifferenceEquations
2.5ImplementationofDiscrete-TimeSystems
2.6CorrelationofDiscrete-TimeSignals
2.7SummaryandReferences
Problems
3THEZ-TRANSFORMANDITSAPPLICATIONTOTHEANALYSISOFLTlSYSTEMS
3.1Thez-Transform
3.2Propertiesofthez-Transform
3.3Rationalz-Transforms
3.4Inversionofthez-Transform
3.5TheOne-sidedz-Transform
3.6AnalysisofLinearTime-InvariantSystemsinthez-Domain
3.7SummaryandReferences
Problems
4FREQUENCYANALYSISOFSIGNALSANDSYSTEMS
4.1FrequencyAnalysisofContinuous-TimeSignals
4.2FrequencyAnalysisofDiscrete-TimeSignals
4.3PropertiesoftheFourierTransformforDiscrete-TimeSignals
4.4Frequency-DomainCharacteristicsofLinearTime-InvariantSystems
4.5LinearTime-InvariantSystemsasFrequency-SelectiveFilters
4.6InverseSystemsandDeconvolution
Problems
5THEDISCRETEFOURIERTRANSFORM:ITSPROPERTIESANDAPPLICATIONS
5.1FrequencyDomainSampling:TheDiscreteFourierTransform
5.2PropertiesoftheDFT
5.3LinearFilteringMethodsBasedontheDFT
5.4FrequencyAnalysisofSignalsUsingtheDFT
5.5SummaryandReferences
Problems
6EFFICIENTCOMPUTATIONOFTHEDFT:FASTFOURIERTRANSFORMALGORITHMS
6.1EfficientComputationoftheDFT:FFTAlgorithms
6.2ApplicationsofFFTAlgorithms
6.3ALinearFilteringApproachtoComputationoftheDFT
6.4QuantizationEffectsintheComputationoftheDFT
6.5SummaryandReferences
Problems
7IMPLEMENTATIONOFDISCRETE-TIMESYSTEMS
7.1StructuresfortheRealizationofDiscrete-TimeSystems
7.2StructuresforFIRSystems
7.3StructuresforIIRSystems
7.4State-SpaceSystemAnalysisandStructures
7.5RepresentationofNumbers
7.6QuantizationofFilterCoefficients
7.7Round-OffEffectsinDigitalFilters
7.8SummaryandReferences
Problems
8DESIGNOFDIGITALFILTERS
8.1GeneralConsiderations
8.2DesignofFIRFilters
8.3DesignofIIRFiltersFromAnalogFilters
8.4FrequencyTransformations
8.5DesignofDigitalFiltersBasedonLeast-SquaresMethod
8.6SummaryandReferences
Problems
9SAMPLINGANDRECONSTRUCTIONOFSIGNALS
9.1SamplingofBandpassSignals
9.2Analog-to-DigitalConverSion
9.3Digital-to-AnalogConversion
9.4SummaryandReferences
Problems
10MULTIRATEDIGITALSIGNALPROCESSING
10.1Introduction
10.2DecimationbyaFactorD
10.3InterpolationbyaFactorI
10.4SamplingRateConversionbyaRationalFactorI/D
10.5FilterDesignandImplementationforSampling-RateConversion
10.6MultistageImplementationofSampling-RateConversion
10.7Sampling-RateConversionofBandpassSignals
10.8Sampling-RateConversionbyanArbitraryFactor
10.9ApplicationsofMultirateSignalProcessing
10.10SummaryandReferences
Problems
11LINEARPREDICTIONANDOPTIMUMLINEARFILTERS
11.1InnovationsRepresentationofaStationaryRandomProcess
11.2ForwardandBackwardLinearPrediction
11.3SolutionoftheNormalEquations
11.4PropertiesoftheLinearPrediction-ErrorFilters
11.5ARLatticeandARMALattice-LadderFilters
11.6WienerFiltersforFilteringandPrediction
11.7SummaryandReferences
Problems
12POWERSPECTRUMESTIMATION
12.1EstimationofSpectrafromFinite-DurationObservationsofSignals
12.2NonparametricMethodsforPowerSpectrumEstimation
12.3ParametricMethodsforPowerSpectrumEstimation
12.4MinimumVarianceSpectralEstimation
12.5EigenanalysisAlgorithmsforSpectrumEstimation
12.6SummaryandReferences
Problems
ARANDOMSIGNALS,CORRELATIONFUNCTIONS,ANDPOWERSPECTRA
BRANDOMNUMBERGENERATORS
CTABLESOFTRANSITIONCOEFFICIENTSFORTHEDESIGNOFLINEAR-PHASEFIRFILTERS
DLISTOFMATLABFUNCTIONS
REFERENCESANDBIBLIOGRAPHYR1
INDEX