Digital Signal Processing: Principles, Algorithms and Applications (3rd Edition) [Hardcover]

John G. Proakis (Author), Dimitris K Manolakis (Author)

Book Description

Publication Date: October 5, 1995 | ISBN-10: 0133737624 | ISBN-13: 978-0133737622 | Edition: 3rd

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.

Editorial Reviews

From the Publisher

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.

Product Details

• Hardcover: 1016 pages
• Publisher: Prentice Hall; 3rd edition (October 5, 1995)
• Language: English
• ISBN-10: 0133737624
• ISBN-13: 978-0133737622
• Product Dimensions: 9.5 x 7.3 x 1.7 inches
• Shipping Weight: 3.6 pounds
• Average Customer Review: 4.3 out of 5 stars  See all reviews (26 customer reviews)
• Amazon Best Sellers Rank: #336,898 in Books (See Top 100 in Books)

Customer Reviews

Most Helpful Customer Reviews

11 of 11 people found the following review helpful:

4.0 out of 5 stars A great theoretical introduction to DSP, December 12, 2005

By 

Sujith (Bangalore, India) - See all my reviews

This review is from: Digital Signal Processing: Principles, Algorithms and Applications (3rd Edition) (Hardcover)

This book is a great theoretical introduction to DSP. Although its size looks intimidating and there is a lot of math, this book is very good for a beginner because firstly, the size of the book is due to numerous examples as well as clear and detailed explanations for most of the concepts and secondly, it is possible to skip over much of the math if you are so inclined and take away the gist of the section. This is the case in some of the more advanced topics covered which may be suitable for a second reading.

Some of the things I liked in this book are:
- The organization of the material and lucidity of the writing and explanation
- Consistency of notation
- The concepts of frequency in continuous and discrete time signals in Chapter 1
- The long introduction to discrete time systems and the concepts of linear time invariance in Chapter 2
- The explanation of Fourier series and Fourier transforms of continuous time and discrete time signals (periodic and non periodic) in Chapter 4 is the best part of this book
- Frequency domain characteristics of LTI systems in Chapter 4
- The way the DFT was introduced and its relationship with the DTFT in Chapter 5
- Sampling and reconstruction of signals in Chapter 9

Some of the things I did not like in this book are:
- The way the sampling theorem was derived in Chapter 4. In DSP you can derive the same thing in many ways but in many cases one method is more intuitive and simpler than the rest. There is an easier way to derive the sampling theorem
- There are mistakes in some equations. Not a major issue though
- There is no MATLAB or computer exercises or examples anywhere. This is a pity because you can learn so much and get a lot of insights with a few hours of DSP with MATLAB. Also there are some things like filter design which are done only on a computer
- I did not like the treatment of Multirate DSP in Chapter 10
- There is no treatment of 2D processing anywhere

On the whole this is a great theoretical introduction to DSP with a few minor drawbacks. I would still recommend this book over the ones by Oppenheim and Mitra for a beginner. But I would wait for the fourth edition that comes out in Feb. 2006 before buying any DSP book.

12 of 13 people found the following review helpful:

5.0 out of 5 stars A very good introduction to DSP, August 28, 1999

By A Customer

This review is from: Digital Signal Processing: Principles, Algorithms and Applications (3rd Edition) (Hardcover)

This book covers all the fundamental aspects of the digital signal processing and, like the other works of Prof. J. Proakis, is written in a rigorous but at the same time clear mathematical language; furthermore the author gives practical examples of the applications of the theories exposed. In my opinion a very good introduction and a complete reference text for people who work in the DSP field.

17 of 20 people found the following review helpful:

5.0 out of 5 stars One of the very few, September 13, 2000

By 

Rajesh Venugopal (Syracuse,Ny) - See all my reviews
(REAL NAME)   

Amazon Verified Purchase

This review is from: Digital Signal Processing: Principles, Algorithms and Applications (3rd Edition) (Hardcover)

This book is the one that is quite accessible both to the beginner as well as the professional. If you had a strong background in Signals and Systems, Proakis will take you through a mathematical tour of DSP. With plenty of examples you would find this book a lot easier than Oppeinheim's. The best of the breed is Stanley's Digital Signal Processing. Since this book is now out of print , the one by Proakis will come a close second.

A lot of examples make this bulkiest of the DSP books, however. For the new comer Richard Lyon's and Steve Smith's book will help them to understand this book well. And don't forget the Matlab series book authored by Proakis. it is the best to learn DSP through Matlab- no doubt about it.