{"product_id":"9781605010670","title":"Signal Processing Study Guide : Fourier analysis, FFT algorithms, Impulse response, Laplace transform, Transfer function, Nyquist theorem, Z-transform, DSP Techniques, Image proc. \u0026 more","description":"\u003cp\u003eBoost Your grades with this illustrated Study Guide. You will use it from an undergraduate school all the way to graduate school and beyond. \u003c\/p\u003e  \u003cp\u003e\u003cb\u003eFeatures\u003c\/b\u003e\u003c\/p\u003e  \u003cul\u003e   \u003cli\u003eClear and concise explanations \u003c\/li\u003e   \u003cli\u003eDifficult concepts are explained in simple terms \u003c\/li\u003e   \u003cli\u003eIllustrated with graphs and diagrams \u003c\/li\u003e   \u003cli\u003eSearch for the words or phrases \u003c\/li\u003e   \u003cli\u003eAccess the guide anytime, anywhere - at home, on the train, in the subway. \u003c\/li\u003e   \u003cli\u003eUse your down time to prepare for an exam. \u003c\/li\u003e   \u003cli\u003eAlways have the guide available for a quick reference. \u003c\/li\u003e   \u003cli\u003eAutomatic synchronization between the handheld and the desktop PC. You could read half of the book on the handheld, then finish reading on the desktop. Annotations and drawings are also synchronized.\u003c\/li\u003e  \u003c\/ul\u003e  \u003cp\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003c\/p\u003e  \u003cul\u003e   \u003cli\u003eI. Foreword \u003c\/li\u003e   \u003cli\u003eII Mathematical Analysis \u003c\/li\u003e   \u003cli\u003eIII. DSP Theory \u003c\/li\u003e   \u003cli\u003eIV. DSP Sub-fields \u003c\/li\u003e   \u003cli\u003eV. DSP Techniques \u003c\/li\u003e   \u003cli\u003eVI. Sampling \u003c\/li\u003e   \u003cli\u003eVII. Statistical Signal Processing \u003c\/li\u003e   \u003cli\u003eVIII. Image processing \u003c\/li\u003e   \u003cli\u003eIX. Control engineering \u003c\/li\u003e   \u003cli\u003eX. DSP Architecture \u003c\/li\u003e  \u003c\/ul\u003e  \u003cp\u003e\u003cb\u003eI. Foreword \u003c\/b\u003e\u003c\/p\u003e  \u003cul\u003e   \u003cli\u003eAbout Signal Processing \u003c\/li\u003e   \u003cli\u003eAbout Digital signal processing \u003c\/li\u003e  \u003c\/ul\u003e  \u003cp\u003e\u003cb\u003eII. Mathematical Analysis \u003c\/b\u003e\u003c\/p\u003e  \u003cul\u003e   \u003cli\u003eFourier analysis \u003c\/li\u003e   \u003cli\u003eFourier series \u003c\/li\u003e   \u003cli\u003eFourier transform \u003c\/li\u003e   \u003cli\u003eFast Fourier transform \u003c\/li\u003e   \u003cli\u003eGibbs phenomenon \u003c\/li\u003e   \u003cli\u003eImpulse response \u003c\/li\u003e   \u003cli\u003eLaplace transform \u003c\/li\u003e   \u003cli\u003eTwo-sided Laplace transform \u003c\/li\u003e   \u003cli\u003eTransfer function \u003c\/li\u003e   \u003cli\u003eDirac comb \u003c\/li\u003e   \u003cli\u003eDirac delta function \u003c\/li\u003e   \u003cli\u003eSinc function \u003c\/li\u003e   \u003cli\u003eGoertzel algorithm \u003c\/li\u003e   \u003cli\u003eAbel transform \u003c\/li\u003e   \u003cli\u003eSpline interpolation \u003c\/li\u003e   \u003cli\u003eStochastic differential equation \u003c\/li\u003e  \u003c\/ul\u003e  \u003cp\u003e\u003cb\u003eIII. DSP Theory \u003c\/b\u003e\u003c\/p\u003e  \u003cul\u003e   \u003cli\u003eNyquist-Shannon sampling theorem \u003c\/li\u003e   \u003cli\u003eWhittaker-Shannon interpolation formula \u003c\/li\u003e   \u003cli\u003eEstimation theory \u003c\/li\u003e   \u003cli\u003eDetection theory \u003c\/li\u003e   \u003cli\u003eLTI system theory \u003c\/li\u003e  \u003c\/ul\u003e  \u003cp\u003e\u003cb\u003eIV. DSP Sub-fields \u003c\/b\u003e\u003c\/p\u003e  \u003cul\u003e   \u003cli\u003eAudio signal processing \u003c\/li\u003e   \u003cli\u003eDigital image processing \u003c\/li\u003e   \u003cli\u003eSpeech processing \u003c\/li\u003e   \u003cli\u003eStatistical signal processing \u003c\/li\u003e   \u003cli\u003eImage processing \u003c\/li\u003e   \u003cli\u003eControl engineering \u003c\/li\u003e  \u003c\/ul\u003e  \u003cp\u003e\u003cb\u003eV. DSP Techniques \u003c\/b\u003e\u003c\/p\u003e  \u003cul\u003e   \u003cli\u003eDiscrete Fourier transform (DFT) \u003c\/li\u003e   \u003cli\u003eBilinear transform \u003c\/li\u003e   \u003cli\u003eZ-transform \u003c\/li\u003e   \u003cli\u003eAadvanced Z-transform \u003c\/li\u003e   \u003cli\u003eDiscrete cosine transform \u003c\/li\u003e   \u003cli\u003eModified discrete cosine transform \u003c\/li\u003e  \u003c\/ul\u003e  \u003cp\u003e\u003cb\u003eVI. Sampling \u003c\/b\u003e\u003c\/p\u003e  \u003cul\u003e   \u003cli\u003eSampling \u003c\/li\u003e   \u003cli\u003eDigital frequency \u003c\/li\u003e   \u003cli\u003eQuantization \u003c\/li\u003e   \u003cli\u003eCompanding \u003c\/li\u003e   \u003cli\u003eSignal reconstruction \u003c\/li\u003e   \u003cli\u003eAliasing \u003c\/li\u003e   \u003cli\u003eReconstruction filter \u003c\/li\u003e   \u003cli\u003eNegative frequency \u003c\/li\u003e  \u003c\/ul\u003e  \u003cp\u003e\u003cb\u003eVII. Statistical Signal Processing \u003c\/b\u003e\u003c\/p\u003e  \u003cul\u003e   \u003cli\u003eBayes theorem \u003c\/li\u003e   \u003cli\u003eBayes estimator \u003c\/li\u003e   \u003cli\u003eRecursive Bayesian estimation \u003c\/li\u003e   \u003cli\u003eWiener filter \u003c\/li\u003e   \u003cli\u003eKalman filter \u003c\/li\u003e   \u003cli\u003eFast Kalman filter \u003c\/li\u003e   \u003cli\u003eAdaptive filter \u003c\/li\u003e   \u003cli\u003eFinite impulse response \u003c\/li\u003e   \u003cli\u003eStatistical classification \u003c\/li\u003e   \u003cli\u003eHidden Markov models \u003c\/li\u003e  \u003c\/ul\u003e  \u003cp\u003e\u003cb\u003eVIII. Image processing \u003c\/b\u003e\u003c\/p\u003e  \u003cul\u003e   \u003cli\u003ePrincipal components analysis \u003c\/li\u003e   \u003cli\u003eIndependent component analysis \u003c\/li\u003e   \u003cli\u003eSelf-organizing maps \u003c\/li\u003e   \u003cli\u003eNeural networks \u003c\/li\u003e   \u003cli\u003eComputer vision \u003c\/li\u003e   \u003cli\u003eAffine shape adaptation \u003c\/li\u003e   \u003cli\u003eBlob detection \u003c\/li\u003e   \u003cli\u003eLanczos resampling \u003c\/li\u003e   \u003cli\u003eTomographic reconstruction \u003c\/li\u003e  \u003c\/ul\u003e  \u003cp\u003e\u003cb\u003eIX. Control engineering\u003c\/b\u003e\u003c\/p\u003e  \u003cul\u003e   \u003cli\u003eAdaptive control \u003c\/li\u003e   \u003cli\u003eBuilding Automation \u003c\/li\u003e   \u003cli\u003eControl reconfiguration \u003c\/li\u003e   \u003cli\u003eFeedback \u003c\/li\u003e   \u003cli\u003eH infinity \u003c\/li\u003e   \u003cli\u003eIntelligent control \u003c\/li\u003e   \u003cli\u003eLaplace transform \u003c\/li\u003e   \u003cli\u003eModel predictive control \u003c\/li\u003e   \u003cli\u003eNon-linear control \u003c\/li\u003e   \u003cli\u003eOptimal control \u003c\/li\u003e   \u003cli\u003eProcess control \u003c\/li\u003e   \u003cli\u003eQuantitative feedback theory \u003c\/li\u003e   \u003cli\u003eRobotic unicycle \u003c\/li\u003e   \u003cli\u003eRobust control \u003c\/li\u003e   \u003cli\u003eServomechanism \u003c\/li\u003e   \u003cli\u003eState space \u003c\/li\u003e   \u003cli\u003eVisSim \u003c\/li\u003e  \u003c\/ul\u003e  \u003cp\u003e\u003cb\u003eX. DSP Architecture \u003c\/b\u003e\u003c\/p\u003e  \u003cul\u003e   \u003cli\u003eDigital signal processor \u003c\/li\u003e   \u003cli\u003evon Neumann architectur \u003c\/li\u003e  \u003c\/ul\u003e  \u003cbr\u003e      \u003cp\u003e\u003cbr\u003e   \u003c\/p\u003e                        ","brand":"MobileReference","offers":[{"title":"Default Title","offer_id":47147868225776,"sku":"9781605010670","price":9.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9781605010670_p0.jpg?v=1763830842","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9781605010670","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}