《信号检测与估计-理论与应用(英文版)》

内容简介信号检测与估计是研究在噪声、干扰和信号共存的环境中如何正确发现、辨别和测量信号的技术，广泛应用于雷达和无线通信等领域。本书详细讲解了信号检测与估计的理论知识与实践应用，共分为四个部分。第一部分概述后续章节需要用到的基础知识，第二部分讲述检测理论的基础概念，包括二元假设检验、备择假设检验、具有随机参量的复合假设检验及非参量检验等。第三部分介绍单参数和多参数的估值方法以及波形估计理论。第四部分介绍某些理论的特定应用。全书共19章，各章都附有大量例题和习题，并给出数个MATLAB计算机仿真实验，以加深读者对于抽象理论的理解，便于读者实践掌握。
本书可作为高等院校通信类、信息类、电子类和控制类等专业的研究生或高年级本科生的专业教材，也可作为相关科研人员的参考用书。

图书目录PartIReviewChaptersChapter1ReviewofProbability1.1ChapterHighlights1.2DefinitionofProbability1.3ConditionalProbability1.4Bayes¡¯Theorem1.5IndependentEvents1.6RandomVariables1.7ConditionalDistributionsandDensities1.8FunctionsofOneRandomVariable1.9MomentsofaRandomVariable1.10DistributionswithTwoRandomVariables1.11MultipleRandomVariables1.12Mean-SquareError(MSE)Estimation1.13BibliographicalNotes1.14ProblemsChapter2StochasticProcesses2.1ChapterHighlights2.2StationaryProcesses2.3CyclostationaryProcesses2.4AveragesandErgodicity2.5AutocorrelationFunction2.6PowerSpectralDensity2.7Discrete-TimeStochasticProcesses2.8SpatialStochasticProcesses2.9RandomSignals2.10BibliographicalNotes2.11ProblemsChapter3SignalRepresentationsandStatistics3.1ChapterHighlights3.2RelationshipofPowerSpectralDensityandAutocorrelationFunction3.3SamplingTheorem3.4LinearTime-InvariantandLinearShift-InvariantSystems3.5BandpassSignalRepresentations3.6BibliographicalNotes3.7ProblemsPartIIDetectionChaptersChapter4SingleSampleDetectionofBinaryHypotheses4.1ChapterHighlights4.2HypothesisTestingandtheMAPCriterion4.3BayesCriterion4.4MinimaxCriterion4.5Neyman-PearsonCriterion4.6SummaryofDetection-CriterionResultsUsedinChapter4Examples4.7SequentialDetection4.8BibliographicalNotes4.9ProblemsChapter5MultipleSampleDetectionofBinaryHypotheses5.1ChapterHighlights5.2ExamplesofMultipleMeasurements5.3BayesCriterion5.4OtherCriteria5.5TheOptimumDigitalDetectorinAdditiveGaussianNoise5.6FilteringAlternatives5.7ContinuousSignals¡ªWhiteGaussianNoise5.8ContinuousSignals¡ªColoredGaussianNoise5.9PerformanceofBinaryReceiversinAWGN5.10FurtherReceiver-Struct......

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