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Signal Processing Study Guide

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Price$9.99
CategoryBooks & Reference
Version12.2
DeveloperMobileReference
Added3 years ago
App Views1 views
Votes0 votes
Google Rating3.2
Ratings4
by On January 9, 2011
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You will use it from an undergraduate school all the way to graduate school and beyond. FREE first 2 chapters in the trial version.FeaturesClear and concise explanationsDifficult concepts are explained in simple termsIllustrated with graphs and diagramsSearch for the words or phrasesAccess the guide anytime, anywhere - at home, on the train, in the subway.Use your down time to prepare for an exam.Always have the guide available for a quick reference.Table of ContentsI. ForewordII Mathematical AnalysisIII. DSP TheoryIV. DSP Sub-fieldsV. DSP TechniquesVI. SamplingVII. Statistical Signal ProcessingVIII. Image processingIX. Control engineeringX. DSP ArchitectureI. ForewordAbout Signal ProcessingAbout Digital signal processingII. Mathematical AnalysisFourier analysisFourier seriesFourier transformFast Fourier transformGibbs phenomenonImpulse responseLaplace transformTwo-sided Laplace transformTransfer functionDirac combDirac delta functionSinc functionGoertzel algorithmAbel transformSpline interpolationStochastic differential equationIII. DSP TheoryNyquist-Shannon sampling theoremWhittaker-Shannon interpolation formulaEstimation theoryDetection theoryLTI system theoryIV. DSP Sub-fieldsAudio signal processingDigital image processingSpeech processingStatistical signal processingImage processingControl engineeringV. DSP TechniquesDiscrete Fourier transform (DFT)Bilinear transformZ-transformAadvanced Z-transformDiscrete cosine transformModified discrete cosine transformVI. SamplingSamplingDigital frequencyQuantizationCompandingSignal reconstructionAliasingReconstruction filterNegative frequencyVII. Statistical Signal ProcessingBayes theoremBayes estimatorRecursive Bayesian estimationWiener filterKalman filterFast Kalman filterAdaptive filterFinite impulse responseStatistical classificationHidden Markov modelsVIII. Image processingPrincipal components analysisIndependent component analysisSelf-organizing mapsNeural networksComputer visionAffine shape adaptationBlob detectionLanczos resamplingTomographic reconstructionIX. Control engineeringAdaptive controlBuilding AutomationControl reconfigurationFeedbackH infinityIntelligent controlLaplace transformModel predictive controlNon-linear controlOptimal controlProcess controlQuantitative feedback theoryRobotic unicycleRobust controlServomechanismState spaceVisSimX. DSP ArchitectureDigital signal processorvon Neumann architectur

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