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数据压缩导论（英文版·第3版）

作者: [英] 萨尤行（Sayood K.）著

出版社: 人民邮电出版社

出版时间: 2009-02

版次: 1

ISBN: 9787115195203

定价: 99.00

装帧: 平装

开本: 16开

纸张: 胶版纸

页数: 680页

字数: 840千字

正文语种: 英语

丛书: 图灵原版计算机科学系列

分类: 计算机与互联网

1 张插图图片

16人买过

《数据压缩导论(英文版·第3版)》是数据压缩方面的经典著作，介绍了各种类型的压缩模式。书中首先介绍了基本压缩方法(包括无损压缩和有损压缩)中涉及的数学知识，为常见的压缩形式打牢了信息论基础，然后从无损压缩体制开始，依次讲述了霍夫曼编码、算术编码以及字典编码技术等，对于有损压缩，还讨论了使用量化的模式，描述了标量、矢量以及微分编码和分形压缩技术，最后重点介绍了视频加密。《数据压缩导论(英文版·第3版)》不但分析了各种压缩模式及其优缺点，而且还说明了它们最适合处理哪种内容。
《数据压缩导论(英文版·第3版)》非常适合从事数据压缩相关工作的专业技术人员、软硬件工程师、学生等阅读，数字图书馆、多媒体等领域的技术人员也可参考。 KhalidSayood，著名数据压缩技术专家，内布拉斯加大学教授得克萨斯A&M大学电气工程专业博士。他的研究方向包括数据压缩、信源信道联合编码和生物信息学。 1Introduction1
1.1CompressionTechniques3
1.1.1LosslessCompression4
1.1.2LossyCompression5
1.1.3MeasuresofPerformance5
1.2ModelingandCoding6
1.3Summary10
1.4ProjectsandProblems11

2MathematicalPreliminariesforLosslessCompression13
2.1Overview13
2.2ABriefIntroductiontoInformationTheory13
2.2.1DerivationofAverageInformation18
2.3Models23
2.3.1PhysicalModels23
2.3.2ProbabilityModels23
2.3.3MarkovModels24
2.3.4CompositeSourceModel27
2.4Coding27
2.4.1UniquelyDecodableCodes28
2.4.2PrefixCodes31
2.4.3TheKraft-McMillanInequality32
2.5AlgorithmicInformationTheory35
2.6MinimumDescriptionLengthPrinciple36
2.7Summary37
2.8ProjectsandProblems38

3HuffmanCoding41
3.1Overview41
3.2TheHuffmanCodingAlgorithm41
3.2.1MinimumVarianceHuffmanCodes46
3.2.2OptimalityofHuffmanCodes48
3.2.3LengthofHuffmanCodes49
3.2.4ExtendedHuffmanCodes51
3.3NonbinaryHuffmanCodes55
3.4AdaptiveHuffmanCoding58
3.4.1UpdateProcedure59
3.4.2EncodingProcedure62
3.4.3DecodingProcedure63
3.5GolombCodes65
3.6RiceCodes67
3.6.1CCSDSRecommendationforLosslessCompression67
3.7TunstallCodes69
3.8ApplicationsofHuffmanCoding72
3.8.1LosslessImageCompression72
3.8.2TextCompression74
3.8.3AudioCompression75
3.9Summary77
3.10ProjectsandProblems77

4ArithmeticCoding81
4.1Overview81
4.2Introduction81
4.3CodingaSequence83
4.3.1GeneratingaTag84
4.3.2DecipheringtheTag91
4.4GeneratingaBinaryCode92
4.4.1UniquenessandEfficiencyoftheArithmeticCode93
4.4.2AlgorithmImplementation96
4.4.3IntegerImplementation102
4.5ComparisonofHuffmanandArithmeticCoding109
4.6AdaptiveArithmeticCoding112
4.7Applications112
4.8Summary113
4.9ProjectsandProblems114

5DictionaryTechniques117
5.1Overview117
5.2Introduction117
5.3StaticDictionary118
5.3.1DigramCoding119
5.4AdaptiveDictionary121
5.4.1TheLZ7.7Approach121
5.4.2TheLZ78Approach125
5.5Applications133
5.5.1FileCompression-UNIXcompress133
5.5.2ImageCompression-TheGraphicsInterchangeFormat(GIF)133
5.5.3ImageCompression-PortableNetworkGraphics(PNG)134
5.5.4CompressionoverModems-V.42bis136
5.6Summary138
5.7ProjectsandProblems139

6Context-BasedCompression141
6.1Overview141
6.2Introduction141
6.3PredictionwithPartialMatch(ppm)143
6.3.1TheBasicAlgorithm143
6.3.2TheEscapeSymbol149
6.3.3LengthofContext150
6.3.4TheExclusionPrinciple151
6.4TheBurrows-WheelerTransform152
6.4.1Move-to-FrontCoding156
6.5AssociativeCoderofBuyanovsky(ACB)157
6.6DynamicMarkovCompression158
6.7Summary160
6.8ProjectsandProblems161

7LosslessImageCompression163
7.1Overview163
7.2Introduction163
7.2.1TheOldJPEGStandard164
7.3CALIC166
7.4JPEG-LS170
7.5MultiresolutionApproaches172
7.5.1ProgressiveImageTransmission173
7.6FacsimileEncoding178
7.6.1Run-LengthCoding179
7.6.2CCITTGroup3and4-RecommendationsT.4andT.6180
7.6.3JBIG183
7.6.4JBIG2-T.88189
7.7MRC-T.44190
7.8Summary193
7.9ProjectsandProblems193

8MathematicalPreliminariesforLossyCoding195
8.1Overview195
8.2Introduction195
8.3DistortionCriteria197
8.3.1TheHumanVisualSystem199
8.3.2AuditoryPerception200
8.4InformationTheoryRevisited201
8.4.1ConditionalEntropy202
8.4.2AverageMutualInformation204
8.4.3DifferentialEntropy205
8.5RateDistortionTheory208
8.6Models215
8.6.1ProbabilityModels216
8.6.2LinearSystemModels218
8.6.3PhysicalModels223
8.7Summary224
8.8ProjectsandProblems224

9ScalarQuantization227
9.1Overview227
9.2Introduction227
9.3TheQuantizationProblem228
9.4UniformQuantizer233
9.5AdaptiveQuantization244
9.5.1ForwardAdaptiveQuantization244
9.5.2BackwardAdaptiveQuantization246
9.6NonuniformQuantization253
9.6.1pdf-OptimizedQuantization253
9.6.2CompandedQuantization257
9.7Entropy-CodedQuantization264
9.7.1EntropyCodingofLloyd-MaxQuantizerOutputs265
9.7.2Entropy-ConstrainedQuantization265
9.7.3High-RateOptimumQuantization266
9.8Summary269
9.9ProjectsandProblems270

10VectorQuantization273
10.1Overview273
10.2Introduction273
10.3AdvantagesofVectorQuantizationoverScalarQuantization276
10.4TheLinde-Buzo-GrayAlgorithm282
10.4.1InitializingtheLBGAlgorithm287
10.4.2TheEmptyCellProblem294
10.4.3UseofLBGforImageCompression294
10.5Tree-StructuredVectorQuantizers299
10.5.1DesignofTree-StructuredVectorQuantizers302
10.5.2PrunedTree-StructuredVectorQuantizers303
10.6StructuredVectorQuantizers303
10.6.1PyramidVectorQuantization305
10.6.2PolarandSphericalVectorQuantizers306
10.6.3LatticeVectorQuantizers307
10.7VariationsontheTheme311
10.7.1Gain-ShapeVectorQuantization311
10.7.2Mean-RemovedVectorQuantization312
10.7.3ClassifiedVectorQuantization313
10.7.4MultistageVectorQuantization313
10.7.5AdaptiveVectorQuantization315
10.8Trellis-CodedQuantization316
10.9Summary321
10.10ProjectsandProblems322

11DifferentialEncoding325
11.1Overview325
11.2Introduction325
11.3TheBasicAlgorithm328
11.4PredictioninDPCM332
11.5AdaptiveDPCM337
11.5.1AdaptiveQuantizationinDPCM338
11.5.2AdaptivePredictioninDPCM339
11.6DeltaModulation342
11.6.1ConstantFactorAdaptiveDeltaModulation(CFDM)343
11.6.2ContinuouslyVariableSlopeDeltaModulation345
11.7SpeechCoding345
11.7.1G.726347
11.8ImageCoding349
11.9Summary351
11.10ProjectsandProblems352

12MathematicalPreliminariesforTransforms，Subbands，andWavelets355
12.1Overview355
12.2Introduction355
12.3VectorSpaces356
12.3.1DotorInnerProduct357
12.3.2VectorSpace357
12.3.3Subspace359
12.3.4Basis360
12.3.5InnerProduct-FormalDefinition361
12.3.6OrthogonalandOrthonormalSets361
12.4FourierSeries362
12.5FourierTransform365
12.5.1Parseval’sTheorem366
12.5.2ModulationProperty366
12.5.3ConvolutionTheorem367
12.6LinearSystems368
12.6.1TimeInvariance368
12.6.2TransferFunction368
12.6.3ImpulseResponse369
12.6.4Filter371
12.7Sampling372
12.7.1IdealSampling-FrequencyDomainView373
12.7.2IdealSampling-TimeDomainView375
12.8DiscreteFourierTransform376
12.9Z-Transform378
12.9.1TabularMethod381
12.9.2PartialFractionExpansion382
12.9.3LongDivision386
12.9.4Z-TransformProperties387
12.9.5DiscreteConvolution387
12.10Summary389
12.11ProjectsandProblems390

13TransformCoding391
13.1Overview391
13.2Introduction391
13.3TheTransform396
13.4TransformsofInterest400
13.4.1Karhunen-LoéveTransform401
13.4.2DiscreteCosineTransform402
13.4.3DiscreteSineTransform404
13.4.4DiscreteWalsh-HadamardTransform404
13.5QuantizationandCodingofTransformCoefficients407
13.6ApplicationtoImageCompression-JPEG410
13.6.1TheTransform410
13.6.2Quantization411
13.6.3Coding413
13.7ApplicationtoAudioCompression-theMDCT416
13.8Summary419
13.9ProjectsandProblems421

14SubbandCoding423
14.1Overview423
14.2Introduction423
14.3Filters428
14.3.1SomeFiltersUsedinSubbandCoding432
14.4TheBasicSubbandCodingAlgorithm436
14.4.1Analysis436
14.4.2QuantizationandCoding437
14.4.3Synthesis437
14.5DesignofFilterBanks438
14.5.1Downsampling440
14.5.2Upsampling443
14.6PerfectReconstructionUsingTwo-ChannelFilterBanks444
14.6.1Two-ChannelPRQuadratureMirrorFilters447
14.6.2PowerSymmetricFIRFilters449
14.7M-BandQMFFilterBanks451
14.8ThePolyphaseDecomposition454
14.9BitAllocation459
14.10ApplicationtoSpeechCoding-G.722461
14.11ApplicationtoAudioCoding-MPEGAudio462
14.12ApplicationtoImageCompression463
14.12.1DecomposinganImage465
14.12.2CodingtheSubbands467
14.13Summary470
14.14ProjectsandProblems471

15Wavelet-BasedCompression473
15.1Overview473
15.2Introduction473
15.3Wavelets476
15.4MultiresolutionAnalysisandtheScalingFunction480
15.5ImplementationUsingFilters486
15.5.1ScalingandWaveletCoefficients488
15.5.2FamiliesofWavelets491
15.6ImageCompression494
15.7EmbeddedZerotreeCoder497
15.8SetPartitioninginHierarchicalTrees505
15.9JPEG2000512
15.10Summary513
15.11ProjectsandProblems513

16AudioCoding515
16.1Overview515
16.2Introduction515
16.2.1SpectralMasking517
16.2.2TemporalMasking517
16.2.3PsychoacousticModel518
16.3MPEGAudioCoding519
16.3.1LayerICoding520
16.3.2LayerIICoding521
16.3.3LayerIIICoding-mp3522
16.4MPEGAdvancedAudioCoding527
16.4.1MPEG-2AAC527
16.4.2MPEG-4AAC532
16.5DolbyAC3(DolbyDigital)533
16.5.1BitAllocation534
16.6OtherStandards535
16.7Summary536

17Analysis/SynthesisandAnalysisbySynthesisSchemes537
17.1Overview537
17.2Introduction537
17.3SpeechCompression539
17.3.1TheChannelVocoder539
17.3.2TheLinearPredictiveCoder(GovernmentStandardLPC-10)542
17.3.3CodeExcitedLinearPredicton(CELP)549
17.3.4SinusoidalCoders552
17.3.5MixedExcitationLinearPrediction(MELP)555
17.4WidebandSpeechCompression-ITU-TG.722.2558
17.5ImageCompression559
17.5.1FractalCompression560
17.6Summary568
17.7ProjectsandProblems569

18VideoCompression571
18.1Overview571
18.2Introduction571
18.3MotionCompensation573
18.4VideoSignalRepresentation576
18.5ITU-TRecommendationH.261582
18.5.1MotionCompensation583
18.5.2TheLoopFilter584
18.5.3TheTransform586
18.5.4QuantizationandCoding586
18.5.5RateControl588
18.6Model-BasedCoding588
18.7AsymmetricApplications590
18.8TheMPEG-1VideoStandard591
18.9TheMPEG-2VideoStandard-H.262594
18.9.1TheGrandAllianceHDTVProposal597
18.10ITU-TRecommendationH.263598
18.10.1UnrestrictedMotionVectorMode600
18.10.2Syntax-BasedArithmeticCodingMode600
18.10.3AdvancedPredictionMode600
18.10.4PB-framesandImprovedPB-framesMode600
18.10.5AdvancedIntraCodingMode600
18.10.6DeblockingFilterMode601
18.10.7ReferencePictureSelectionMode601
18.10.8Temporal，SNR，andSpatialScalabilityMode601
18.10.9ReferencePictureResampling601
18.10.10Reduced-ResolutionUpdateMode602
18.10.11AlternativeInterVLCMode602
18.10.12ModifiedQuantizationMode602
18.10.13EnhancedReferencePictureSelectionMode603
18.11ITU-TRecommendationH.264，MPEG-4Part10，AdvancedVideoCoding603
18.11.1Motion-CompensatedPrediction604
18.11.2TheTransform605
18.11.3IntraPrediction605
18.11.4Quantization606
18.11.5Coding608
18.12MPEG-4Part2609
18.13PacketVideo610
18.14ATMNetworks610
18.14.1CompressionIssuesinATMNetworks611
18.14.2CompressionAlgorithmsforPacketVideo612
18.15Summary613
18.16ProjectsandProblems614

AProbabilityandRandomProcesses615
A.1Probability615
A.1.1FrequencyofOccurrence615
A.1.2AMeasureofBelief616
A.1.3TheAxiomaticApproach618
A.2RandomVariables620
A.3DistributionFunctions621
A.4Expectation623
A.4.1Mean624
A.4.2SecondMoment625
A.4.3Variance625
A.5TypesofDistribution625
A.5.1UniformDistribution625
A.5.2GaussianDistribution626
A.5.3LaplacianDistribution626
A.5.4GammaDistribution626
A.6StochasticProcess626
A.7ProjectsandProblems629

BABriefReviewofMatrixConcepts631
B.1AMatrix631
B.2MatrixOperations632
CTheRootLattices637
Bibliography639
Index655
内容简介:
《数据压缩导论(英文版·第3版)》是数据压缩方面的经典著作，介绍了各种类型的压缩模式。书中首先介绍了基本压缩方法(包括无损压缩和有损压缩)中涉及的数学知识，为常见的压缩形式打牢了信息论基础，然后从无损压缩体制开始，依次讲述了霍夫曼编码、算术编码以及字典编码技术等，对于有损压缩，还讨论了使用量化的模式，描述了标量、矢量以及微分编码和分形压缩技术，最后重点介绍了视频加密。《数据压缩导论(英文版·第3版)》不但分析了各种压缩模式及其优缺点，而且还说明了它们最适合处理哪种内容。
《数据压缩导论(英文版·第3版)》非常适合从事数据压缩相关工作的专业技术人员、软硬件工程师、学生等阅读，数字图书馆、多媒体等领域的技术人员也可参考。
作者简介:
KhalidSayood，著名数据压缩技术专家，内布拉斯加大学教授得克萨斯A&M大学电气工程专业博士。他的研究方向包括数据压缩、信源信道联合编码和生物信息学。
目录:
1Introduction1
1.1CompressionTechniques3
1.1.1LosslessCompression4
1.1.2LossyCompression5
1.1.3MeasuresofPerformance5
1.2ModelingandCoding6
1.3Summary10
1.4ProjectsandProblems11

2MathematicalPreliminariesforLosslessCompression13
2.1Overview13
2.2ABriefIntroductiontoInformationTheory13
2.2.1DerivationofAverageInformation18
2.3Models23
2.3.1PhysicalModels23
2.3.2ProbabilityModels23
2.3.3MarkovModels24
2.3.4CompositeSourceModel27
2.4Coding27
2.4.1UniquelyDecodableCodes28
2.4.2PrefixCodes31
2.4.3TheKraft-McMillanInequality32
2.5AlgorithmicInformationTheory35
2.6MinimumDescriptionLengthPrinciple36
2.7Summary37
2.8ProjectsandProblems38

3HuffmanCoding41
3.1Overview41
3.2TheHuffmanCodingAlgorithm41
3.2.1MinimumVarianceHuffmanCodes46
3.2.2OptimalityofHuffmanCodes48
3.2.3LengthofHuffmanCodes49
3.2.4ExtendedHuffmanCodes51
3.3NonbinaryHuffmanCodes55
3.4AdaptiveHuffmanCoding58
3.4.1UpdateProcedure59
3.4.2EncodingProcedure62
3.4.3DecodingProcedure63
3.5GolombCodes65
3.6RiceCodes67
3.6.1CCSDSRecommendationforLosslessCompression67
3.7TunstallCodes69
3.8ApplicationsofHuffmanCoding72
3.8.1LosslessImageCompression72
3.8.2TextCompression74
3.8.3AudioCompression75
3.9Summary77
3.10ProjectsandProblems77

4ArithmeticCoding81
4.1Overview81
4.2Introduction81
4.3CodingaSequence83
4.3.1GeneratingaTag84
4.3.2DecipheringtheTag91
4.4GeneratingaBinaryCode92
4.4.1UniquenessandEfficiencyoftheArithmeticCode93
4.4.2AlgorithmImplementation96
4.4.3IntegerImplementation102
4.5ComparisonofHuffmanandArithmeticCoding109
4.6AdaptiveArithmeticCoding112
4.7Applications112
4.8Summary113
4.9ProjectsandProblems114

5DictionaryTechniques117
5.1Overview117
5.2Introduction117
5.3StaticDictionary118
5.3.1DigramCoding119
5.4AdaptiveDictionary121
5.4.1TheLZ7.7Approach121
5.4.2TheLZ78Approach125
5.5Applications133
5.5.1FileCompression-UNIXcompress133
5.5.2ImageCompression-TheGraphicsInterchangeFormat(GIF)133
5.5.3ImageCompression-PortableNetworkGraphics(PNG)134
5.5.4CompressionoverModems-V.42bis136
5.6Summary138
5.7ProjectsandProblems139

6Context-BasedCompression141
6.1Overview141
6.2Introduction141
6.3PredictionwithPartialMatch(ppm)143
6.3.1TheBasicAlgorithm143
6.3.2TheEscapeSymbol149
6.3.3LengthofContext150
6.3.4TheExclusionPrinciple151
6.4TheBurrows-WheelerTransform152
6.4.1Move-to-FrontCoding156
6.5AssociativeCoderofBuyanovsky(ACB)157
6.6DynamicMarkovCompression158
6.7Summary160
6.8ProjectsandProblems161

7LosslessImageCompression163
7.1Overview163
7.2Introduction163
7.2.1TheOldJPEGStandard164
7.3CALIC166
7.4JPEG-LS170
7.5MultiresolutionApproaches172
7.5.1ProgressiveImageTransmission173
7.6FacsimileEncoding178
7.6.1Run-LengthCoding179
7.6.2CCITTGroup3and4-RecommendationsT.4andT.6180
7.6.3JBIG183
7.6.4JBIG2-T.88189
7.7MRC-T.44190
7.8Summary193
7.9ProjectsandProblems193

8MathematicalPreliminariesforLossyCoding195
8.1Overview195
8.2Introduction195
8.3DistortionCriteria197
8.3.1TheHumanVisualSystem199
8.3.2AuditoryPerception200
8.4InformationTheoryRevisited201
8.4.1ConditionalEntropy202
8.4.2AverageMutualInformation204
8.4.3DifferentialEntropy205
8.5RateDistortionTheory208
8.6Models215
8.6.1ProbabilityModels216
8.6.2LinearSystemModels218
8.6.3PhysicalModels223
8.7Summary224
8.8ProjectsandProblems224

9ScalarQuantization227
9.1Overview227
9.2Introduction227
9.3TheQuantizationProblem228
9.4UniformQuantizer233
9.5AdaptiveQuantization244
9.5.1ForwardAdaptiveQuantization244
9.5.2BackwardAdaptiveQuantization246
9.6NonuniformQuantization253
9.6.1pdf-OptimizedQuantization253
9.6.2CompandedQuantization257
9.7Entropy-CodedQuantization264
9.7.1EntropyCodingofLloyd-MaxQuantizerOutputs265
9.7.2Entropy-ConstrainedQuantization265
9.7.3High-RateOptimumQuantization266
9.8Summary269
9.9ProjectsandProblems270

10VectorQuantization273
10.1Overview273
10.2Introduction273
10.3AdvantagesofVectorQuantizationoverScalarQuantization276
10.4TheLinde-Buzo-GrayAlgorithm282
10.4.1InitializingtheLBGAlgorithm287
10.4.2TheEmptyCellProblem294
10.4.3UseofLBGforImageCompression294
10.5Tree-StructuredVectorQuantizers299
10.5.1DesignofTree-StructuredVectorQuantizers302
10.5.2PrunedTree-StructuredVectorQuantizers303
10.6StructuredVectorQuantizers303
10.6.1PyramidVectorQuantization305
10.6.2PolarandSphericalVectorQuantizers306
10.6.3LatticeVectorQuantizers307
10.7VariationsontheTheme311
10.7.1Gain-ShapeVectorQuantization311
10.7.2Mean-RemovedVectorQuantization312
10.7.3ClassifiedVectorQuantization313
10.7.4MultistageVectorQuantization313
10.7.5AdaptiveVectorQuantization315
10.8Trellis-CodedQuantization316
10.9Summary321
10.10ProjectsandProblems322

11DifferentialEncoding325
11.1Overview325
11.2Introduction325
11.3TheBasicAlgorithm328
11.4PredictioninDPCM332
11.5AdaptiveDPCM337
11.5.1AdaptiveQuantizationinDPCM338
11.5.2AdaptivePredictioninDPCM339
11.6DeltaModulation342
11.6.1ConstantFactorAdaptiveDeltaModulation(CFDM)343
11.6.2ContinuouslyVariableSlopeDeltaModulation345
11.7SpeechCoding345
11.7.1G.726347
11.8ImageCoding349
11.9Summary351
11.10ProjectsandProblems352

12MathematicalPreliminariesforTransforms，Subbands，andWavelets355
12.1Overview355
12.2Introduction355
12.3VectorSpaces356
12.3.1DotorInnerProduct357
12.3.2VectorSpace357
12.3.3Subspace359
12.3.4Basis360
12.3.5InnerProduct-FormalDefinition361
12.3.6OrthogonalandOrthonormalSets361
12.4FourierSeries362
12.5FourierTransform365
12.5.1Parseval’sTheorem366
12.5.2ModulationProperty366
12.5.3ConvolutionTheorem367
12.6LinearSystems368
12.6.1TimeInvariance368
12.6.2TransferFunction368
12.6.3ImpulseResponse369
12.6.4Filter371
12.7Sampling372
12.7.1IdealSampling-FrequencyDomainView373
12.7.2IdealSampling-TimeDomainView375
12.8DiscreteFourierTransform376
12.9Z-Transform378
12.9.1TabularMethod381
12.9.2PartialFractionExpansion382
12.9.3LongDivision386
12.9.4Z-TransformProperties387
12.9.5DiscreteConvolution387
12.10Summary389
12.11ProjectsandProblems390

13TransformCoding391
13.1Overview391
13.2Introduction391
13.3TheTransform396
13.4TransformsofInterest400
13.4.1Karhunen-LoéveTransform401
13.4.2DiscreteCosineTransform402
13.4.3DiscreteSineTransform404
13.4.4DiscreteWalsh-HadamardTransform404
13.5QuantizationandCodingofTransformCoefficients407
13.6ApplicationtoImageCompression-JPEG410
13.6.1TheTransform410
13.6.2Quantization411
13.6.3Coding413
13.7ApplicationtoAudioCompression-theMDCT416
13.8Summary419
13.9ProjectsandProblems421

14SubbandCoding423
14.1Overview423
14.2Introduction423
14.3Filters428
14.3.1SomeFiltersUsedinSubbandCoding432
14.4TheBasicSubbandCodingAlgorithm436
14.4.1Analysis436
14.4.2QuantizationandCoding437
14.4.3Synthesis437
14.5DesignofFilterBanks438
14.5.1Downsampling440
14.5.2Upsampling443
14.6PerfectReconstructionUsingTwo-ChannelFilterBanks444
14.6.1Two-ChannelPRQuadratureMirrorFilters447
14.6.2PowerSymmetricFIRFilters449
14.7M-BandQMFFilterBanks451
14.8ThePolyphaseDecomposition454
14.9BitAllocation459
14.10ApplicationtoSpeechCoding-G.722461
14.11ApplicationtoAudioCoding-MPEGAudio462
14.12ApplicationtoImageCompression463
14.12.1DecomposinganImage465
14.12.2CodingtheSubbands467
14.13Summary470
14.14ProjectsandProblems471

15Wavelet-BasedCompression473
15.1Overview473
15.2Introduction473
15.3Wavelets476
15.4MultiresolutionAnalysisandtheScalingFunction480
15.5ImplementationUsingFilters486
15.5.1ScalingandWaveletCoefficients488
15.5.2FamiliesofWavelets491
15.6ImageCompression494
15.7EmbeddedZerotreeCoder497
15.8SetPartitioninginHierarchicalTrees505
15.9JPEG2000512
15.10Summary513
15.11ProjectsandProblems513

16AudioCoding515
16.1Overview515
16.2Introduction515
16.2.1SpectralMasking517
16.2.2TemporalMasking517
16.2.3PsychoacousticModel518
16.3MPEGAudioCoding519
16.3.1LayerICoding520
16.3.2LayerIICoding521
16.3.3LayerIIICoding-mp3522
16.4MPEGAdvancedAudioCoding527
16.4.1MPEG-2AAC527
16.4.2MPEG-4AAC532
16.5DolbyAC3(DolbyDigital)533
16.5.1BitAllocation534
16.6OtherStandards535
16.7Summary536

17Analysis/SynthesisandAnalysisbySynthesisSchemes537
17.1Overview537
17.2Introduction537
17.3SpeechCompression539
17.3.1TheChannelVocoder539
17.3.2TheLinearPredictiveCoder(GovernmentStandardLPC-10)542
17.3.3CodeExcitedLinearPredicton(CELP)549
17.3.4SinusoidalCoders552
17.3.5MixedExcitationLinearPrediction(MELP)555
17.4WidebandSpeechCompression-ITU-TG.722.2558
17.5ImageCompression559
17.5.1FractalCompression560
17.6Summary568
17.7ProjectsandProblems569

18VideoCompression571
18.1Overview571
18.2Introduction571
18.3MotionCompensation573
18.4VideoSignalRepresentation576
18.5ITU-TRecommendationH.261582
18.5.1MotionCompensation583
18.5.2TheLoopFilter584
18.5.3TheTransform586
18.5.4QuantizationandCoding586
18.5.5RateControl588
18.6Model-BasedCoding588
18.7AsymmetricApplications590
18.8TheMPEG-1VideoStandard591
18.9TheMPEG-2VideoStandard-H.262594
18.9.1TheGrandAllianceHDTVProposal597
18.10ITU-TRecommendationH.263598
18.10.1UnrestrictedMotionVectorMode600
18.10.2Syntax-BasedArithmeticCodingMode600
18.10.3AdvancedPredictionMode600
18.10.4PB-framesandImprovedPB-framesMode600
18.10.5AdvancedIntraCodingMode600
18.10.6DeblockingFilterMode601
18.10.7ReferencePictureSelectionMode601
18.10.8Temporal，SNR，andSpatialScalabilityMode601
18.10.9ReferencePictureResampling601
18.10.10Reduced-ResolutionUpdateMode602
18.10.11AlternativeInterVLCMode602
18.10.12ModifiedQuantizationMode602
18.10.13EnhancedReferencePictureSelectionMode603
18.11ITU-TRecommendationH.264，MPEG-4Part10，AdvancedVideoCoding603
18.11.1Motion-CompensatedPrediction604
18.11.2TheTransform605
18.11.3IntraPrediction605
18.11.4Quantization606
18.11.5Coding608
18.12MPEG-4Part2609
18.13PacketVideo610
18.14ATMNetworks610
18.14.1CompressionIssuesinATMNetworks611
18.14.2CompressionAlgorithmsforPacketVideo612
18.15Summary613
18.16ProjectsandProblems614

AProbabilityandRandomProcesses615
A.1Probability615
A.1.1FrequencyofOccurrence615
A.1.2AMeasureofBelief616
A.1.3TheAxiomaticApproach618
A.2RandomVariables620
A.3DistributionFunctions621
A.4Expectation623
A.4.1Mean624
A.4.2SecondMoment625
A.4.3Variance625
A.5TypesofDistribution625
A.5.1UniformDistribution625
A.5.2GaussianDistribution626
A.5.3LaplacianDistribution626
A.5.4GammaDistribution626
A.6StochasticProcess626
A.7ProjectsandProblems629

BABriefReviewofMatrixConcepts631
B.1AMatrix631
B.2MatrixOperations632
CTheRootLattices637
Bibliography639
Index655

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数据压缩导论（英文版·第3版）

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