Digital Signal Processing Signals, Systems, And Filters

Learn the fundamentals of DSP and digital filter design With 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 Processing offers a fully interactive approach to successfully mastering DSP. Accessible and comprehensive, this resource covers the essentials of DSP theory and practice including: bull; bull;The Fourier and z transforms and their application in the spectral analysis of signals bull;Discrete Fourier transform (DFT), fast Fourier transform (FFT) algorithms, and window techniques bull;Finite impulse response (FIR) and infinite impulse response (IIR) digital filter design using both closed-form and iterative optimization methods bull;Detailed study of digital filter imperfections MASTER DSP AND DIGITAL FILTER DESIGN Introduction to Digital Signal Processing Fourier Series and Fourier Transform The z Transform Discrete-Time Systems Applications of the z Transform The Sampling Process Discrete Fourier Transform Realization of Digital Filters Design of Nonrecursive (FIR) Filters Approximations for Analog Filters Design of Recursive (IIR) Filters Design of Recursive (IIR) Filters Satisfying Prescribed Specifications Random Signals Effects of Finite Word Length in Digital Filters Design of Nonrecursive (FIR) Filters Using Optimization Methods Design of Recursive (IIR) Filters Using Optimization Methods Wave Digital Filters DSP ApplicationsAntoniou, Andreas is the author of 'Digital Signal Processing Signals, Systems, And Filters', published 2005 under ISBN 9780071454247 and ISBN 0071454241.