Digital Signal Processing: Principles, Algorithms and Applications by John G. Proakis and Dimitris G. Manolakis presents the fundamentals of discrete-time signals, systems, and modern digital processing and applications for students in electronics engineering, computer engineering, and computer science. The book is suitable for either a one-semester or a 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.
A balanced coverage is provided of both theory and practical applications. Includes many examples throughout the book and approximately 500 homework problems. Offers a detailed examination of power spectrum estimation, with discussions on nonparametric and model-based methods, as well as eigen-decomposition- based methods, including MUSIC and ESPRIT.
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