Digital Signal Processing

Digital Signal Processing: A Computer-Based Approach is intended for a two-semester course on digital signal processing for seniors or first-year graduate students. Based on user feedback, a number of new topics have been added to the third edition, while some excess topics from the second edition have been removed. The author has taken great care to organize the chapters more logically by reordering the sections within chapters. More worked-out examples have also been included. The book contains more than 500 problems and 150 MATLAB exercises.

New topics in the third edition include: short-time characterization of discrete-time signals, expanded coverage of discrete-time Fourier transform

and discrete Fourier transform, prime factor algorithm for DFT computation, sliding DFT, zoom FFT, chirp Fourier transform, expanded coverage of z-transform, group delay equalization of IIR digital filters, design of computationally efficient FIR digital filters, semi-symbolic analysis of digital filter structures, spline interpolation, spectral factorization, discrete wavelet transform.

Booknews

A textbook for a two-semester course for seniors or first-year graduate students, or for self-study by practicing engineers or scientists. Assumes a junior-level course in linear continuous- time and discrete-time systems and a minimal knowledge of MATLAB, which is used throughout. Introduces the tools used in analyzing and designing discrete-time systems for signal processing. Includes 76 MATLAB programs and over 150 exercises. Annotation c. by Book News, Inc., Portland, Or.