Digital Signal Processing: Principles, Algorithms and Applications (International Edition)

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ISBN 10: 0133942899 / ISBN 13: 9780133942897

Published by -, 1996

About this Item

Digital Signal Processing: Principles, Algorithms and Applications (International Edition) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. Seller Inventory # 7719-9780133942897

Bibliographic Details

Title: Digital Signal Processing: Principles, ...

Publisher: -

Publication Date: 1996

Binding: Paperback

Condition: Very Good

Edition: 3rd Edition, International Edition

About this title

Synopsis:

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.

From the Back Cover:

Giving the reader a sound balance of theory and practical application, this no-nonsense book 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 furthers the understanding with numerous examples, exercises, and experiments emphasizing software implementation of digital signal processing algorithms integrated throughout.

FEATURES:

• NEW―reorganizes coverage of DFT and FFT algorithm for greater clarity―now introduces the DFT and describes its efficient computation immediately following the treatment of Fourier analysis.
• Describes the operations and techniques involved in the analog-to-digital conversion of analog signals.
• Studies the characterization and analysis of linear time-invariant discrete-time systems and discrete- time signals in the time domain.
• Considers both the bilateral and the unilateral z-transform, and describes methods for determining the inverse z-transform.
• Analyzes signals and systems in the frequency domain, and presents Fourier series and Fourier transform in both continuous-time and discrete-time signals.
• Treats the realization of IIR and FIR systems, including direct-form, cascade, parallel, lattice and lattice-ladder realizations.
• Looks at the basics of sampling rate conversion and presents systems for implementing multirate conversion.
• 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.
• Includes many examples throughout the book and with approximately 500 workable problems.