Customer Reviews

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

5 star:		(16)
4 star:		(5)
3 star:		(2)
2 star:		(2)
1 star:		(1)

 

 

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.

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.

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.

I've read many books about discrete time signal processing, but none like this! This is the best one so far. Everytime a theory had been explained, an example followed. You know what... I didn't understand DFT until I read this book! Other books explained theories like they were teaching professors, but this book is very excellent for undergraduate students.

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.

Yes, this is an excellent book and has excellent coverage of many DSP topics, But reading it is no walk in the park. This book is NOT for the beginner. Try Understanding Digital Signal Processing by Richard Lyons first and then come back to this one.

I have 6 years experience with digital signal processing, however, it has been so many years since i worked in this field that i purchased this book to update my skills. I found significant errors and very poor explanations in the section on sample rate conversion, the main section of interest to me. For example the sample input to the remez program will not work because you must specify the LGRID parameter even if only to set it to 0 - the example fails to set it. The 5 times interpolation example says that you should set the transition frequency to PI/5 and shows results based on that choice. This is in error, the choice should be Fs/5 (Fs=Sample freq) which produces a very different filter. And all of the Interpolating examples are incorrectly based on this model. In addition i can verify the filter result because it should approximate 0 at every 5th point and the center point of the filter should be 1/5. The book's interpolating filter does not show these properties. And lastly, but perhaps more importantly, the explanations are very ad-hoc providing very little insight into the underlying processes. For example the section on "polyphase" filters is nonsense with regard to signal processing, it is actually a simple programming performance enhancement based on recognizing the attributes of the data. The authors fail to make that clear and in fact obscures everything by describing it in signal processing terms. There are other examples i could provide but i'm only allowed 1,000 words. Sadly, I felt i had to give the book 2 stars because it appears to be the most up-to-date volume available.

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.

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.

I am currently taking an undergraduate intro to DSP class at Cal Poly Pomona. I have to say that I cannot put this book down!!. Mr Proakis does an excellent job presenting the material in a very readable format. I think this is a very good intro to Digital Signal Processing. The book has a nice flow and does a very good job in introducing the concepts. Another plus for the book are the examples provided. There are some very good problems at the end of each chapter. If you are getting this book I recommend the companion book "Digital Signal Processing with MATLAB" by Vinay K. Ingle and John G. Proakis. I highly recommend this book.