Sewn binding. Cloth over boards. 1016 p. And Intelligent Manufacturing Systems. Audience: General/trade. Very good. light shelfwear, department name writen at page ends, NO PRIORITY SHIPPING DUE TO WEIGHT.

N� de ref. del art�culo Alibris.0023267

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Detalles bibliogr�ficos

T�tulo

Digital Signal Processing: Principles, Algorithms and Applications

Editor

Prentice Hall, Upper Saddle River, NJ

Fecha de publicaci�n

1995

Idioma

Ingl�s

ISBN 10

0133737624

ISBN 13

9780133737622

Encuadernaci�n

Hard cover

Edici�n

3rd ed.

Cat�logos de vendedores

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Sinopsis

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.

Rese�a del editor

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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West With The Night
AZ, U.S.A.

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