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[英] 萨尤行 (Sayood K.) 著 / 人民邮电出版社 / 2009-02 / 平装
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数据压缩导论(英文版·第3版)
《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。
1Introduction11.1CompressionTechniques31.1.1LosslessCompression41.1.2LossyCompression51.1.3MeasuresofPerformance51.2ModelingandCoding61.3Summary101.4ProjectsandProblems112MathematicalPreliminariesforLosslessCompression132.1Overview132.2ABriefIntroductiontoInformationTheory132.2.1DerivationofAverageInformation182.3Models232.3.1PhysicalModels232.3.2ProbabilityModels232.3.3MarkovModels242.3.4CompositeSourceModel272.4Coding272.4.1UniquelyDecodableCodes282.4.2PrefixCodes312.4.3TheKraft-McMillanInequality322.5AlgorithmicInformationTheory352.6MinimumDescriptionLengthPrinciple362.7Summary372.8ProjectsandProblems383HuffmanCoding413.1Overview413.2TheHuffmanCodingAlgorithm413.2.1MinimumVarianceHuffmanCodes463.2.2OptimalityofHuffmanCodes483.2.3LengthofHuffmanCodes493.2.4ExtendedHuffmanCodes513.3NonbinaryHuffmanCodes553.4AdaptiveHuffmanCoding583.4.1UpdateProcedure593.4.2EncodingProcedure623.4.3DecodingProcedure633.5GolombCodes653.6RiceCodes673.6.1CCSDSRecommendationforLosslessCompression673.7TunstallCodes693.8ApplicationsofHuffmanCoding723.8.1LosslessImageCompression723.8.2TextCompression743.8.3AudioCompression753.9Summary773.10ProjectsandProblems774ArithmeticCoding814.1Overview814.2Introduction814.3CodingaSequence834.3.1GeneratingaTag844.3.2DecipheringtheTag914.4GeneratingaBinaryCode924.4.1UniquenessandEfficiencyoftheArithmeticCode934.4.2AlgorithmImplementation964.4.3IntegerImplementation1024.5ComparisonofHuffmanandArithmeticCoding1094.6AdaptiveArithmeticCoding1124.7Applications1124.8Summary1134.9ProjectsandProblems1145DictionaryTechniques1175.1Overview1175.2Introduction1175.3StaticDictionary1185.3.1DigramCoding1195.4AdaptiveDictionary1215.4.1TheLZ7.7Approach1215.4.2TheLZ78Approach1255.5Applications1335.5.1FileCompression-UNIXcompress1335.5.2ImageCompression-TheGraphicsInterchangeFormat(GIF)1335.5.3ImageCompression-PortableNetworkGraphics(PNG)1345.5.4CompressionoverModems-V.42bis1365.6Summary1385.7ProjectsandProblems1396Context-BasedCompression1416.1Overview1416.2Introduction1416.3PredictionwithPartialMatch(ppm)1436.3.1TheBasicAlgorithm1436.3.2TheEscapeSymbol1496.3.3LengthofContext1506.3.4TheExclusionPrinciple1516.4TheBurrows-WheelerTransform1526.4.1Move-to-FrontCoding1566.5AssociativeCoderofBuyanovsky(ACB)1576.6DynamicMarkovCompression1586.7Summary1606.8ProjectsandProblems1617LosslessImageCompression1637.1Overview1637.2Introduction1637.2.1TheOldJPEGStandard1647.3CALIC1667.4JPEG-LS1707.5MultiresolutionApproaches1727.5.1ProgressiveImageTransmission1737.6FacsimileEncoding1787.6.1Run-LengthCoding1797.6.2CCITTGroup3and4-RecommendationsT.4andT.61807.6.3JBIG1837.6.4JBIG2-T.881897.7MRC-T.441907.8Summary1937.9ProjectsandProblems1938MathematicalPreliminariesforLossyCoding1958.1Overview1958.2Introduction1958.3DistortionCriteria1978.3.1TheHumanVisualSystem1998.3.2AuditoryPerception2008.4InformationTheoryRevisited2018.4.1ConditionalEntropy2028.4.2AverageMutualInformation2048.4.3DifferentialEntropy2058.5RateDistortionTheory2088.6Models2158.6.1ProbabilityModels2168.6.2LinearSystemModels2188.6.3PhysicalModels2238.7Summary2248.8ProjectsandProblems2249ScalarQuantization2279.1Overview2279.2Introduction2279.3TheQuantizationProblem2289.4UniformQuantizer2339.5AdaptiveQuantization2449.5.1ForwardAdaptiveQuantization2449.5.2BackwardAdaptiveQuantization2469.6NonuniformQuantization2539.6.1pdf-OptimizedQuantization2539.6.2CompandedQuantization2579.7Entropy-CodedQuantization2649.7.1EntropyCodingofLloyd-MaxQuantizerOutputs2659.7.2Entropy-ConstrainedQuantization2659.7.3High-RateOptimumQuantization2669.8Summary2699.9ProjectsandProblems27010VectorQuantization27310.1Overview27310.2Introduction27310.3AdvantagesofVectorQuantizationoverScalarQuantization27610.4TheLinde-Buzo-GrayAlgorithm28210.4.1InitializingtheLBGAlgorithm28710.4.2TheEmptyCellProblem29410.4.3UseofLBGforImageCompression29410.5Tree-StructuredVectorQuantizers29910.5.1DesignofTree-StructuredVectorQuantizers30210.5.2PrunedTree-StructuredVectorQuantizers30310.6StructuredVectorQuantizers30310.6.1PyramidVectorQuantization30510.6.2PolarandSphericalVectorQuantizers30610.6.3LatticeVectorQuantizers30710.7VariationsontheTheme31110.7.1Gain-ShapeVectorQuantization31110.7.2Mean-RemovedVectorQuantization31210.7.3ClassifiedVectorQuantization31310.7.4MultistageVectorQuantization31310.7.5AdaptiveVectorQuantization31510.8Trellis-CodedQuantization31610.9Summary32110.10ProjectsandProblems32211DifferentialEncoding32511.1Overview32511.2Introduction32511.3TheBasicAlgorithm32811.4PredictioninDPCM33211.5AdaptiveDPCM33711.5.1AdaptiveQuantizationinDPCM33811.5.2AdaptivePredictioninDPCM33911.6DeltaModulation34211.6.1ConstantFactorAdaptiveDeltaModulation(CFDM)34311.6.2ContinuouslyVariableSlopeDeltaModulation34511.7SpeechCoding34511.7.1G.72634711.8ImageCoding34911.9Summary35111.10ProjectsandProblems35212MathematicalPreliminariesforTransforms,Subbands,andWavelets35512.1Overview35512.2Introduction35512.3VectorSpaces35612.3.1DotorInnerProduct35712.3.2VectorSpace35712.3.3Subspace35912.3.4Basis36012.3.5InnerProduct-FormalDefinition36112.3.6OrthogonalandOrthonormalSets36112.4FourierSeries36212.5FourierTransform36512.5.1Parseval’sTheorem36612.5.2ModulationProperty36612.5.3ConvolutionTheorem36712.6LinearSystems36812.6.1TimeInvariance36812.6.2TransferFunction36812.6.3ImpulseResponse36912.6.4Filter37112.7Sampling37212.7.1IdealSampling-FrequencyDomainView37312.7.2IdealSampling-TimeDomainView37512.8DiscreteFourierTransform37612.9Z-Transform37812.9.1TabularMethod38112.9.2PartialFractionExpansion38212.9.3LongDivision38612.9.4Z-TransformProperties38712.9.5DiscreteConvolution38712.10Summary38912.11ProjectsandProblems39013TransformCoding39113.1Overview39113.2Introduction39113.3TheTransform39613.4TransformsofInterest40013.4.1Karhunen-LoéveTransform40113.4.2DiscreteCosineTransform40213.4.3DiscreteSineTransform40413.4.4DiscreteWalsh-HadamardTransform40413.5QuantizationandCodingofTransformCoefficients40713.6ApplicationtoImageCompression-JPEG41013.6.1TheTransform41013.6.2Quantization41113.6.3Coding41313.7ApplicationtoAudioCompression-theMDCT41613.8Summary41913.9ProjectsandProblems42114SubbandCoding42314.1Overview42314.2Introduction42314.3Filters42814.3.1SomeFiltersUsedinSubbandCoding43214.4TheBasicSubbandCodingAlgorithm43614.4.1Analysis43614.4.2QuantizationandCoding43714.4.3Synthesis43714.5DesignofFilterBanks43814.5.1Downsampling44014.5.2Upsampling44314.6PerfectReconstructionUsingTwo-ChannelFilterBanks44414.6.1Two-ChannelPRQuadratureMirrorFilters44714.6.2PowerSymmetricFIRFilters44914.7M-BandQMFFilterBanks45114.8ThePolyphaseDecomposition45414.9BitAllocation45914.10ApplicationtoSpeechCoding-G.72246114.11ApplicationtoAudioCoding-MPEGAudio46214.12ApplicationtoImageCompression46314.12.1DecomposinganImage46514.12.2CodingtheSubbands46714.13Summary47014.14ProjectsandProblems47115Wavelet-BasedCompression47315.1Overview47315.2Introduction47315.3Wavelets47615.4MultiresolutionAnalysisandtheScalingFunction48015.5ImplementationUsingFilters48615.5.1ScalingandWaveletCoefficients48815.5.2FamiliesofWavelets49115.6ImageCompression49415.7EmbeddedZerotreeCoder49715.8SetPartitioninginHierarchicalTrees50515.9JPEG200051215.10Summary51315.11ProjectsandProblems51316AudioCoding51516.1Overview51516.2Introduction51516.2.1SpectralMasking51716.2.2TemporalMasking51716.2.3PsychoacousticModel51816.3MPEGAudioCoding51916.3.1LayerICoding52016.3.2LayerIICoding52116.3.3LayerIIICoding-mp352216.4MPEGAdvancedAudioCoding52716.4.1MPEG-2AAC52716.4.2MPEG-4AAC53216.5DolbyAC3(DolbyDigital)53316.5.1BitAllocation53416.6OtherStandards53516.7Summary53617Analysis/SynthesisandAnalysisbySynthesisSchemes53717.1Overview53717.2Introduction53717.3SpeechCompression53917.3.1TheChannelVocoder53917.3.2TheLinearPredictiveCoder(GovernmentStandardLPC-10)54217.3.3CodeExcitedLinearPredicton(CELP)54917.3.4SinusoidalCoders55217.3.5MixedExcitationLinearPrediction(MELP)55517.4WidebandSpeechCompression-ITU-TG.722.255817.5ImageCompression55917.5.1FractalCompression56017.6Summary56817.7ProjectsandProblems56918VideoCompression57118.1Overview57118.2Introduction57118.3MotionCompensation57318.4VideoSignalRepresentation57618.5ITU-TRecommendationH.26158218.5.1MotionCompensation58318.5.2TheLoopFilter58418.5.3TheTransform58618.5.4QuantizationandCoding58618.5.5RateControl58818.6Model-BasedCoding58818.7AsymmetricApplications59018.8TheMPEG-1VideoStandard59118.9TheMPEG-2VideoStandard-H.26259418.9.1TheGrandAllianceHDTVProposal59718.10ITU-TRecommendationH.26359818.10.1UnrestrictedMotionVectorMode60018.10.2Syntax-BasedArithmeticCodingMode60018.10.3AdvancedPredictionMode60018.10.4PB-framesandImprovedPB-framesMode60018.10.5AdvancedIntraCodingMode60018.10.6DeblockingFilterMode60118.10.7ReferencePictureSelectionMode60118.10.8Temporal,SNR,andSpatialScalabilityMode60118.10.9ReferencePictureResampling60118.10.10Reduced-ResolutionUpdateMode60218.10.11AlternativeInterVLCMode60218.10.12ModifiedQuantizationMode60218.10.13EnhancedReferencePictureSelectionMode60318.11ITU-TRecommendationH.264,MPEG-4Part10,AdvancedVideoCoding60318.11.1Motion-CompensatedPrediction60418.11.2TheTransform60518.11.3IntraPrediction60518.11.4Quantization60618.11.5Coding60818.12MPEG-4Part260918.13PacketVideo61018.14ATMNetworks61018.14.1CompressionIssuesinATMNetworks61118.14.2CompressionAlgorithmsforPacketVideo61218.15Summary61318.16ProjectsandProblems614AProbabilityandRandomProcesses615A.1Probability615A.1.1FrequencyofOccurrence615A.1.2AMeasureofBelief616A.1.3TheAxiomaticApproach618A.2RandomVariables620A.3DistributionFunctions621A.4Expectation623A.4.1Mean624A.4.2SecondMoment625A.4.3Variance625A.5TypesofDistribution625A.5.1UniformDistribution625A.5.2GaussianDistribution626A.5.3LaplacianDistribution626A.5.4GammaDistribution626A.6StochasticProcess626A.7ProjectsandProblems629BABriefReviewofMatrixConcepts631B.1AMatrix631B.2MatrixOperations632CTheRootLattices637Bibliography639Index655
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开播时间:09月02日 10:30