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Digital Signal Processing: Principles, Algorithms and Applications

Amazon.com (From $122.99)
Amazon.ca (From $CAN 33.51)
Amazon.co.uk (From £26.79)
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3.9
Rating: 3.9 | Votes: 10
Other Books by John G. Proakis
Contemporary Communication Systems Using MATLAB
Communication Systems Engineering
A Self-Study Guide for Digital Signal Processing
Digital Communications
Algorithms for Statistical Signal Processing
Introduction to Digital Signal Processing
Digital Signal Processing (4th Edition)
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Amazon Customers Reviews

Immense volume, meager quality
Review written by: Electrical Engineer From Holmdel, NJ United States
This is a very large book covering many areas of digital signal processing. I bought a used copy of the third edition to replace an earlier one. Unfortunately, many of the errors - conceptual, not typographical - have remained. For example, the authors state in Sec. 8.3 that the frequency response of an elliptic (Cauer) filter is a rational function of a Jacobian elliptic function of frequency. An electrical engineer would know that a transfer function of a network of discrete components is a rational function of frequency, whereas the Jacobian elliptic is a transcendental function. The typographical error in the name of the mathematician Schur has finally been corrected attesting to the fact that neither author ever read the original paper. The presentation is extremely detailed in trivialities, with as many pictures, including a derivation of the sum of a geometric series as an exercise, a subject usually taught in high school. Finally, as another example, the solution's manual gives the wrong answer for Problem 2.9(a) stating, in effect, that a periodic function possesses a limit as its argument tends to infinity, showing complete ignorance of the notion of limit by the authors. Books such as this have little educational value, confusing the student with tons of irrelevant information, non-standard nomenclature - the Cauchy Residue Theorem in Sec. 3.1.2 is renamed to Cauchy Integral Theorem - and wrong answers. This book, if properly corrected, would be very useful.

Excellet handbook for system identification background
Review written by: Ahmet Faik From Türkiye
It's very very useful book for system identification specially newstarted, because of the fact that system identification is heavily related DFT, FFT, Spectral Analysis, Wiener-Khinchine relations and so on. Congratulations !!!

A great theoretical introduction to DSP
Review written by: Sujith From Bangalore, India
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.

Something is missing ...
Review written by: "Sparky" From Winnipeg, MB, Canada
This book was required for a graduate-level DSP course, but I found it quite insufficient for study without a VERY good set of classroom notes. There are mistakes in various equations throughout the text, little to no examples, and I have yet to find a solutions manual.

The one nice thing I can say about the text is that it is thorough in its coverage. The book covers almost every topic I can think of for both undergraduate and graduate-level courses. My course has supplemented the text with "Discrete-Time Signal Processing" by Oppenheim and Schafer as well as "Adaptive Filter Theory" by Haykin. I found Oppenheim's text to be better for the examples -- even buying the Shaum's Outline for DSP can suffice. Haykin's text is for our coverage of adaptive filter theory.

If you're looking for a good undergraduate text try B.P. Lathi's book "Signal Processing and Linear Systems" -- it's much better and has been used at my University for a number of years now to teach our two undergraduate-level DSP courses.

Solid Book
Review written by: Dan Han From Los Angeles
I am a graduate student at USC and this book I actually used in lieu of the assigned book Digital Signal Processing (by Mitra). I referred to this book mainly because the assigned book hardly had any intuitive explanations and was quite convoluted. Proakis did a much better job in terms of the relationships between the various Fourier Transforms without comprising mathematical rigor. I also have Lyons Understanding Digital Signal Processing which is great for people new to DSP but I felt it lacked some depth in certain areas and did not have sample problems. Overall Proakis does a solid job with this book. I'd recommend it after knowing the material in Lyon's book.

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