为了给读者在理论和实践应用之间进行合理的平衡，本书严谨地介绍了现代数字信号处理的基本概念和技术，并介绍了相关的算法和应用。本书涵盖了线性离散时间系统分析的时域和频域方法，还涉及了诸如采样、数字滤波器设计、滤波器实现、去卷积、插值、状态矢量空间方法、频谱分析等相关主题的内容。本书不仅要求对诸多示例、练习的理解，而且更强调对数字信号算法进行软件实现的实践环节。

版权信息

内容简介

作者简介

目录

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