Balanced coverage of digital signal processing theory and practical applications
Digital Signal Processing presents the fundamental concepts and techniques of discrete-time signals, systems, and modern digital processing as well as related algorithms and applications for students in electrical engineering, computer engineering, and computer science. The book is suitable for either a one- or two-semester undergraduate-level course in discrete systems and digital signal processing. It is also intended for use in a one-semester, first-year graduate-level course in digital signal processing.

Covering both time-domain and frequency-domain methods for the analysis of linear, discrete-time systems, the 5th Edition includes a new chapter on multirate digital filter banks and wavelets. Several new topics have been added to existing chapters, including the short-time Fourier Transform, the sparse FFT algorithm, ARMA model parameter estimation, and reverberation filters. Rigorous and challenging, it further prepares students with numerous examples and over 500 homework and computer problems that emphasize software implementation of digital signal processing algorithms.