Product Description

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.

Product Details

• Amazon Sales Rank: #1107875 in Books
• Published on: 1995-10-26
• Original language: English
• Number of items: 1
• Binding: Hardcover
• 1016 pages

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.

Customer Reviews

About the problems in the DSP book
Sir, Please send the solutions manual of the book Digital Signal Processing : Principles, Algorithms, and Applications by John G. Proakis, Dimitris G. Manolakis. I am referring this book for Under graduate students. It will be of great help to me. Prof. G.P.Kadam. H.O.D. electronics & communication Engg. K.L.E. Society's college of Engg. & Tech. Udyambag, Belgaum. 590 008

Excelent book
This book covers the basic principles of DSP in a clear and concise way, inducing topics as the split radix FFT and Z transform. I really like this book and I think it is a good choice if you are looking for a DSP bible.

thorough, broad textbook.
This book assumes a reasonable (undergrad) level of mathematics,
similar to the level I encountered in physical systems as part
of my physics degree. I'd forgotten all that though when I
bought this book and found myself digging out Kreyzig's AEM at
the start.
It introduces elements of DSP gently. So you get a bit about
implementation in ch.2 and a full treatment in ch.7, a bit of
filter design in ch.4 and a full treatment in ch.8 etc.etc.
There's a lot of good stuff on the z-transform, LTI systems and
FFT algorithm design.
I can imagine using this book as a reference for many years.
My only gripe: I wish there was a chapter on MATLAB - but I
suppose that's what the Proakis's MATLAB book is
for...