基本信息
源码名称：array signal processing
源码大小：15.57M
文件格式：.pdf
开发语言：Python
更新时间：2021-10-30
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   源码介绍

Contents
Prefacexi
AbouttheCompanionWebsitexiii
1Introduction
SignalEnhancement
SpeechEnhancementandNoiseReduction
UnderwaterAcousticSignalEnhancement
SignalEnhancementinRadarSystems
SignalEnhancementinUltrasoundSystems
ApproachestoSignalEnhancement
ArraySignalProcessing
OrganizationoftheBook
HowtoUsetheBook
References
PartISignalEnhancement
2Single-channelSignalEnhancementintheTimeDomain
SignalModelandProblemFormulation
WienerMethod
LinearFiltering
PerformanceMeasures
OptimalFilters
SpectralMethod
JointDiagonalizationandReformulationoftheProblem
NoiseReductionwithGains
PerformanceMeasures
DeterminationoftheGainsfromtheFullmodeOutputSNR
Problems
References
3Single-ChannelSignalEnhancementintheFrequencyDomain
SignalModelandProblemFormulation
NoiseReductionwithGains
viContents
PerformanceMeasures
OptimalGains
ConstraintWienerGains
ImplementationwiththeShort-timeFourierTransform
Problems
References
4MultichannelSignalEnhancementintheTimeDomain
SignalModelandProblemFormulation
ConventionalMethod
JointDiagonalization
LinearFiltering
PerformanceMeasures
OptimalFilteringMatrices
SpectralMethod
TemporalJointDiagonalizationandReformulationoftheProblem
SpatialJointDiagonalization
SpatialLinearFiltering
PerformanceMeasures
OptimalFilters
CaseofaRankDeficientNoiseCorrelationMatrix
EigenvalueDecompositions
MaximizationoftheOutputSNR
MinimizationoftheOutputSNR
Problems
References
5MultichannelSignalEnhancementintheFrequencyDomain
SignalModelandProblemFormulation
LinearFiltering
PerformanceMeasures
InputSNR
OutputSNR
NoiseRejectionandDesiredSignalCancellation
DesiredSignalDistortionIndex
MSECriterion
OptimalFilters
MaximumSNR
Wiener
MVDR
Tradeoff
LCMV
GeneralizedSidelobeCancellerStructure
ASignalSubspacePerspective
JointDiagonalization
EstimationoftheDesiredSignal
Contentsvii
ImplementationwiththeSTFT
Problems
References
6AnExhaustiveClassofLinearFilters
SignalModelandProblemFormulation
LinearFilteringforSignalEnhancement
PerformanceMeasures
OptimalFilters
Wiener
MVDR
Tradeoff
LCMV
MaximumSINR
MaximumSIR
FillingtheGapBetweentheMaximumSINRandWienerFilters
Problems
References
PartIIArraySignalProcessing
7FixedBeamforming
SignalModelandProblemFormulation
LinearArrayModel
PerformanceMeasures
SpatialAliasing
FixedBeamformers
DelayandSum
MaximumDF
Superdirective
RobustSuperdirective
NullSteering
ASignalSubspacePerspective
JointDiagonalization
CompromisingBetweenWNGandDF
Problems
References
8AdaptiveBeamforming
SignalModel,ProblemFormulation,andArrayModel
PerformanceMeasures
AdaptiveBeamformers
Wiener
MVDR
Tradeoff
MaximumArrayGain
LCMV
viiiContents
SNREstimation
DOAEstimation
ASpectralCoherencePerspective
Definitions
DerivationofOptimalBeamformers
Problems
References
9DifferentialBeamforming
SignalModel,ProblemFormulation,andArrayModel
Beampatterns
Front-to-backRatios
ArrayGains
ExamplesofTheoreticalDifferentialBeamformers
First-orderDesign
Principle
DesignExamples
Second-orderDesign
Principle
DesignExamples
Third-orderDesign
Principle
DesignExamples
Minimum-normBeamformers
Principle
DesignExamples
Problems
References
10BeampatternDesign
BeampatternsRevisited
NonrobustApproach
RobustApproach
Frequency-invariantBeampatternDesign
Least-squaresMethod
JointOptimization
Problems
References
11BeamformingintheTimeDomain
SignalModelandProblemFormulation
BroadbandBeamforming
PerformanceMeasures
FixedBeamformers
DelayandSum
MaximumDF
DistortionlessMaximumDF
Contentsix
Superdirective
NullSteering
AdaptiveBeamformers
Wiener
MVDR
Tradeoff
MaximumSNR
LCMV
DifferentialBeamformers
FirstOrder
SecondOrder
GeneralOrder
Hypercardioid
Supercardioid
Problems
References
Index