Digital signal processing principles algorithms and applications

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digital signal processing principles algorithms and applications

Digital Signal Processing: Principles, Algorithms, and Applications by John G. Proakis

A significant revision of a best-selling text for the introductory digital signal processing course. This book presents the fundamentals of discrete-time signals, systems, and modern digital processing and applications for students in electrical 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.

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Digital Signal. Processing. Principles, Algorithms, and Applications. Third Edition. John G. Proakis. Northeastern University. Dimitris G.
John G. Proakis

Digital Signal Processing: Principles Algorithms and Applications

The book is a leading introductory text on digital signal processing. Digital Signal Processing is an introductory textbook on the subject. It covers the fundamentals of discrete time signals, systems, and modern digital processing. It also covers applications of the same for students of electrical engineering, computer engineering, and computer science. This is the fourth edition of the book.

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A significant revision of a best-selling text for the introductory digital signal processing course. This book presents the fundamentals of discrete-time signals, systems, and modern digital processing and applications for students in electrical engineering, computer engineering, and computer science. The book is suitable for either a one-semester or a two-semester undergra. 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. Goodreads helps you keep track of books you want to read.

Suitable for a one- or two-semester undergraduate-level electrical engineering, computer engineering, and computer science course in Discrete Systems and Digital Signal Processing. Assumes some prior knowledge of advanced calculus, linear systems for continuous-time signals, and Fourier series and transforms. Giving students a sound balance of theory and practical application, this no-nonsense text presents the fundamental concepts and techniques of modern digital signal processing with related algorithms and applications. Covering both time-domain and frequency- domain methods for the analysis of linear, discrete-time systems, the book offers cutting-edge coverage on such topics as sampling, digital filter design, filter realizations, deconvolution, interpolation, decimation, state-space methods, spectrum analysis, and more. Rigorous and challenging, it further prepares students with numerous examples, exercises, and experiments emphasizing software implementation of digital signal processing algorithms integrated throughout.

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