Digital Signal Processing: Signals, Systems, and Filters
Learn the fundamentals of DSP and digital filter designWith a strong focus on basic principles and applications, this thoroughly up-to-date text provides a solid foundation in the concepts, methods, and algorithms of digital signal processing.  Key topics such as spectral analysis, discrete-time systems, the sampling process, and digital filter design are all covered in well-illustrated detail.Filled with examples and problems that can be worked in MATLAB or the author's DSP software, D-Filter,Digital Signal Processingoffers a fully interactive approach to successfully mastering DSP.Accessible and comprehensive, this resource covers the essentials of DSP theory and practice including:The Fourier and z transforms and their application in the spectral analysis of signalsDiscrete Fourier transform (DFT), fast Fourier transform (FFT) algorithms, and window techniquesFinite impulse response (FIR) and infinite impulse response (IIR) digital filter design using both closed-form and iterative optimization methodsDetailed study of digital filter imperfectionsMASTER DSP AND DIGITAL FILTER DESIGNIntroduction to Digital Signal ProcessingFourier Series and Fourier TransformThe z TransformDiscrete-Time SystemsApplications of the z TransformThe Sampling ProcessDiscrete Fourier TransformRealization of Digital FiltersDesign of Nonrecursive (FIR) FiltersApproximations for Analog FiltersDesign of Recursive (IIR) FiltersDesign of Recursive (IIR) Filters Satisfying Prescribed SpecificationsRandom SignalsEffects of Finite Word Length in Digital FiltersDesign of Nonrecursive (FIR) Filters Using Optimization MethodsDesign of Recursive (IIR) Filters Using Optimization MethodsWave Digital FiltersDSP Applications