Digital Signal Processing Theory, Applications, and Hardware de Haddad, Richard A. and Parsons, Thomas W.: Near Fine Hardcover (1991) 1st Edition

Descripci�n

N� de ref. del art�culo 000646

Detalles bibliogr�ficos

T�tulo: Digital Signal Processing Theory, Applications, and Hardware
Editor: W.H. Freeman and Company
Fecha de publicaci�n: 1991
Idioma: Ingl�s
ISBN 10: 0716782065
ISBN 13: 9780716782063
Encuadernaci�n: Hardcover
Edici�n: 1st Edition
Estado: Near Fine
Estado de la sobrecubierta: No Jacket

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Sinopsis

Designed for graduate students and signal processing practitioners with an introductory background in DSP, this new text gives representative coverage of advanced topics (orthogonal expansions, optimal filters, and two-dimensional DSP), and advanced aspects of familiar topics (fast transforms beyond the FFT, non-uniform sampling and quantization). Providing a self-contained blending of DSP theory, applications to speech and image processing, and state-of-the-art DSP hardware, "Digital Signal Processing" includes: introductory DSP concepts summarized in five appendixes; DSP filter algorithms - e.g.subband and median filters; least squares, optimal, and adaptive filters spectral estimation and deconvolution; speech and image processing applications; and DSP hardware realizations.

Rese�a del editor

Designed for graduate students and signal processing practitioners with an introductory background in DSP, this new text gives representative coverage of advanced topics (orthogonal expansions, optimal filters, and two-dimensional DSP), and advanced aspects of familiar topics (fast transforms beyond the FFT, non-uniform sampling and quantization). Providing a self-contained blending of DSP theory, applications to speech and image processing, and state-of-the-art DSP hardware, "Digital Signal Processing" includes: introductory DSP concepts summarized in five appendixes; DSP filter algorithms - e.g.subband and median filters; least squares, optimal, and adaptive filters spectral estimation and deconvolution; speech and image processing applications; and DSP hardware realizations.

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