盲信号处理：理论与实践（英文版）

图书标准信息

• 作者 史习智 著
• 出版社 上海交通大学出版社
• 出版时间 2011-01
• 版次 1
• ISBN 9787313058201
• 定价 150.00元
• 装帧 平装
• 开本 16开
• 纸张 胶版纸
• 页数 368页
• 字数 450千字

【内容简介】

BlindSignalProcessingTheoryandPracticenotonlyintroducesrelatedfundamentalmathematics,butalsoreflectsthenumerousadvancesinthefield,suchasprobabilitydensityestimation-basedprocessingalgorithms,underdeterminedmodels,complexvaluemethods,uncertaintyoforderintheseparationofconvolutivemixturesinfrequencydomains,andfeatureextractionusingIndependentComponentAnalysis(ICA).Attheendofthebook,resultsfromastudyconductedatShanghaiJiaoTongUniversityintheareasofspeechsignalprocessing,underwatersignals,imagefeatureextraction,datacompression,andthelikearediscussed.
Thisbookwillbeofparticularinteresttoadvancedundergraduatestudents,graduatestudents,universityinstructorsandresearchscientistsinrelateddisciplines.XizhiShiisaProfessoratShanghaiJiaoTongUniversity.

【目录】

Chapter1Introduction
1.1Introduction
1.2BlindSourceSeparation
1.3IndependentComponentAnalysis(ICA)
1.4TheHistoricalDevelopmentandResearchProspectofBlindSignalProcessing
References
Chapter2MathematicalDescriptionofBlindSignalProcessing
2.1RandomProcessandProbabilityDistribution
2.2EstimationTheory
2.3InformationTheory
2.4Higher-OrderStatistics
2.5PreprocessingofSignal
2.6ComplexNonlinearFunction
2.7EvaluationIndex
References
Chapter3IndependentComponentAnalysis
3.1ProblemStatementandAssumptions
3.2ContrastFunctions
3.3InformationMaximizationMethodofICA
3.4MaximumLikelihoodMethodandCommonLearningRule
3.5FastICAAlgorithm
3.6NaturalGradientMethod
3.7HiddenMarkovIndependentComponentAnalysis
References
Chapter4NonlinearPCA&FeatureExtraction
4.1PrincipalComponentAnalysis&InfinitesimalAnalysis
4.2NonlinearPCAandBlindSourceSeparation
4.3KernelPCA
4.4NeuralNetworksMethodofNonlinearPCAandNonlinearComplexPCA
References
Chapter5NonlinearICA
5.1NonlinearModelandSourceSeparation
5.2LearningAlgorithm
5.3ExtendedGaussianizationMethodofPostNonlinearBlindSeparation
5.4NeuralNetworkMethodforNonlinearICA
5.5GeneticAlgorithmofNonlinearICASolution
5.6ApplicationExamplesofNonlinearICA
References
Chapter6ConvolutiveMixturesandBlindDeconvolution
6.1DescriptionofIssues
6.2ConvolutiveMixturesinTime-Domain
6.3ConvolutiveMixturesAlgorithmsinFrequency-Domain
6.4Frequency-DomainBlindSeparationofSpeechConvolutiveMixtures
6.5BussgangMethod
6.6Multi-channelBlindDeconvolution
References
Chapter7BlindProcessingAlgorithmBasedonProbabilityDensityEstimation
7.1AdvancingtheProblem
7.2NonparametricEstimationofProbabilityDensityFunction
7.3EstimationofEvaluationFunction
7.4BlindSeparationAlgorithmBasedonProbabilityDensityEstimation
7.5ProbabilityDensityEstimationofGaussianMixturesModel
7.6BlindDeconvolutionAlgorithmBasedonProbabilityDensityFunctionEstimation
7.7On-lineAlgorithmofNonparametricDensityEstimation
References
Chapter8JointApproximateDiagonalizationMethod
8.1Introduction
8.2JADAlgorithmofFrequency-DomainFeature
8.3JADAlgorithmofTime-FrequencyFeature
8.4JointApproximateBlockDiagonalizationAlgorithmofConvolutiveMixtures
8.5JADMethodBasedonCayleyTransformation
8.6JointDiagonalizationandJointNon-DiagonalizationMethod
8.7NonparametricDensityEstimatingSeparatingMethodBasedonTime-FrequencyAnalysis
References
Chapter9ExtensionofBlindSignalProcessing
9.1BlindSignalExtraction
9.2FromProjectionPursuitTechnologytoNonparametricDensityEstimation-BasedICA
9.3Second-OrderStatisticsBasedConvolutiveMixturesSeparationAlgorithm
9.4BlindSeparationforFewerSensorsthanSources--UnderdeterminedModel
9.5FastlCASeparationAlgorithmofComplexNumbersinConvolutiveMixtures
9.6On-lineComplexICAAlgorithmBasedonUncorrelatedCharacteristicsofComplexVectors
9.7ICA-BasedWigner-VilleDistribution
9.8ICAFeatureExtraction
9.9ConstrainedICA
9.10ParticleFilteringBasedNonlinearandNoisyICA
References
Chapter10DataAnalysisandApplicationStudy
10.1TargetEnhancementinActiveSonarDetection
10.2ECGArtifactsRejectioninEEGwithICA
10.3ExperimentonUnderdeterminedBlindSeparationofASpeechSignal
10.4ICAinHumanFaceRecognition
10.5ICAinDataCompression
10.6IndependentComponentAnalysisforFunctionalMRIDataAnalysis
10.7SpeechSeparationforAutomaticSpeechRecognitionSystem
10.8IndependentComponentAnalysisofMicroarrayGeneExpressionDataintheStudyofAlzheimer'sDisease(AD)
References
Index