Multiple-Input, Multiple-Output Channel Model

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1、MULTIPLE-INPUT,MULTIPLE-OUTPUTCHANNELMODELSWileySeriesinAdaptiveandLearningSystemsforSignalProcessing,CommunicationandControlEditor:SimonHaykinAdaliandHaykin/ADAPTIVESIGNALPROCESSING:NextGenerationSolutionsBeckerman/AdaptiveCooperativeSystemsCandy/Model-

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3、t,Multiple-OutputChannelModels:TheoryandPracticeDiamantarasandKung/PrincipalComponentNeuralNetworks:TheoryandApplicationsHaykin/UnsupervisedAdaptiveFiltering:BlindSourceSeparationHaykinUnsupervisedAdaptiveFiltering:BlindDeconvolutionHaykinandLiuHandboo

4、konArrayProcessingandSensorNetworksHaykinandPuthussarypadyChaoticDynamicsofSeaClutterHaykinandWidrowLeastMean-SquareAdaptiveFiltersHrycejNeurocontrol:TowardsanIndustrialControlMethodologyHyva¨rinen,Karhunen,andOjaIndependentComponentAnalysisKristic´,

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6、stSystemsTheoryandApplicationsSandberg,Lo,Fancourt,Principe,Katagairi,andHaykinNonlinearDynamicalSystems:FeedforwardNeuralNetworkPerspectivesSellathuraiandHaykinSpace-TimeLayeredInformationProcessingforWirelessCommunicationsSpooner,Maggiore,Ordo´n˜ez,a

7、ndPassinoStableAdaptiveControlandEstimationforNonlinearSystems:NeuralandFuzzyApproximatorTechniquesTaoAdaptiveControlDesignandAnalysisTaoandKokotovic´AdaptiveControlofSystemswithActuatorandSensorNonlinearitiesTsoukalasandUhrigFuzzyandNeuralApproaches

8、inEngineeringVanHulleFaithfulRepresentationsandTopographicMaps:FromDistortion-toInformation-BasedSelf-OrganizationVapnikStatisticalLearningTheoryWerbosTheRootsofBackpropagation:FromOrderedDerivativestoNeuralNetworksandP