Customer Reviews

Digital Signal Processing (4th Edition)

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I just got it the other day, and saw much more changes than was originally reported.

Most of the deletions are in the earlier chapters dealing with basic concepts of DSP (something usually dealt with in a senior undergraduate class on DSP), while the additions are mostly in the later chapters dealing with more advanced concepts - stuff usually dealt with in an advanced/graduate level course.

Topics on LTI systems and their state space representation have been dropped en masse, while Adaptive filtering has been added as a new chapter.

Some of the deletions are (Section #s are from the IIIrd ed.:

2.6.4 - Computation of Autocorrelation Sequences

3.6.7 - Schür-Cohn Stability Test

4.2.12 - Physical and Mathematical Duality

4.4 - Freuqnecy domain characteristics of LTI systems

4.5 - LTI systems as frequency selective filters

4.6 - Inverse systems and deconvolution

7.4 - State space analysis and structures

8.3.4 - Matched-z transformation

8.5 - Design of Digital Filters based on Least-Squares method

10.5 - The Direct Form FIR filter part of this section

10.5.3 - Time variant filter structures

Some additions:

Chapter 4 - Frequency domain and time domain signal properties

Chapter 7 - The Discrete Cosine Transform

4 new subsections on Polyphase filter structures and sampling rate conversion added

Section on Digital Filter Banks and Quadrature Mirror Filters (previously part of 'Applications of Multirate Signal Processing') considerably expanded (in new subsection)

Section on M-channel QMF banks added

Section on Random Signals, Correlation Functions and Power Spectra (formaerly in Appendix A) added

A whole new chapter on Adaptive Filters added

Section on Minimum Variance Spectral Estimation expanded

Some other changes include:

Section on 'Response of Pole-Zero systems with non-zero initial conditions' has been combined with other topics. Topics on 'Sampling and Reconstruction of Signals' have been completely revamped and reworked; Outlying topics dealing with this material have all been brought together in one place.

Topic covering 'Oversampling A/D and D/A converters' has been moved to the Sampling chapter.

In a few words, the new version has moved away from its DSP basics background to give space more advanced topics - in this respect, it has begun resembling, to an extent, the initial parts of Manolakis' other book (with Ingle and Kogon).

Although still relevant to undergraduate students or relative newcomers to DSP, many of the topics are now best handled at the graduate level, which already has a slew of good tomes on the vast subject (including one by Manolakis himself).

Moreover, if you need to study LTI and time variant systems, this edition is no longer of any use - stick to ed. III or look for Signals and Systems by either Haykin and Van Veen or Ziemer, Tranter and Fannin.

I have read many DSP books, this turns out to be the best one. The other good DSP book to mention is the "Understanding Digital Signal Processing" (Lyons) which is written in favor of beginners. The Proakis book not only explains the basic idea as clear as the Lyons's book but it covers deeper materials.

As others have mentioned, this book covers complex topics in detail, but it still covers the basics (in deep detail). My old DSP books stop at FIR and IIR filtering design, but this book has in depth chapters about multirate DSP, linear prediction, adaptive filtering, and power spectrum estimation. The power spectrum estimation has sections on filter banks, noise correction, and signal classification algorithms.

For anyone with sufficient understanding of mathematics, this book can be used as introductory DSP reading, but I would only recommend this book for someone who has at least had moderate exposure to DSP. It covers the basics in a way that helps you further your understanding, then it goes further into the more complex topics. Most chapters have a healthy balance of charts, graphs and equations, all with reasonably reader-friendly explanations.

The only thing missing is examples in C or C++! Oh well, I guess I can't have it all. I should also note here that this book seems to directly target students (undergrad and grad) more so than professionals. The information is broadly useful though.

Great explanation for every fundamental concepts. For instance, authors give a deep introduction about the background and purpose of Fourier Series and transform in Ch 4. The book demonstrates great details of Fourier Transform by constructing from mathematic components to a whole picture of Fourier Transform.
This textbook explains almost everything and provides much more details than the current textbook I am using in UCLA. I guess this textbook also much better than most textbooks, since most textbooks don't even bother to cover the real fundamental concepts.
However, as I reading along ch.4, there are many typo, but they all format problems so far. Ex. superscript, "x2" = x*x. integration from nothing to w, because it's lower limit become part of integral value.

But still, this is a great book without a doubt!!!

This is the first book of Proakis I bought. The reason I didn't buy a book of Proakis since my second year in PhD was because I was traumatized by his Digital Communications book when I was a undergrad student. That book was so difficult for me to understant with it's complex equations and notations, I was virtually scared of Proakis. And the other reason was that what is discussed in his Digital Communications book could be found on other texts, explained much simpler with simple illustrations. So I did not have the need to get Proakis. But now, I wanted to learn about quantization effects of DFT/FFT, and there is not much references available. So finding it the table of contents I decided to buy the book. I was not really interested in the rest of the contents, since I already knew about them and had read atleast couple of other books regarding the same topics.
But I was in for a surprise. The book was not evil as I thought it would be. It was easier to understand. Although the part on DFT/FFT quantization noise was quite limited, I found a plethora of other material, which I thought I had read in other books under the same chapter heading, but which I had never knew. For example, the chapter on Spectrum estimation towards the end of the book was really helpful as it described many techniques such as MUSIC. ESPRIT and other eigendecomposition based specturm estimation methods, which I did not find in any other DC related books I read. Bottom line, this book is gold if you are working the in the area of digital communications, but I would not refer to this book if I am an undergrad. This is more of graduate level book.

One of the best DSP books you can get out there xD ! For a better understanding of DSP, whether undergraduate or graduate :)

The book states quite clearly it's a graduate text. With this in mind, I feel safe in saying this book is a very easy read. The examples are easy to follow, and ideas/concepts are laid out quite well.

I'd recommend an intermediate background in mathematics (linear algebra, maybe as high as numerical analysis), and exposure to electronics would help in understanding the examples but isn't necessary.

This book provides a thorough theoretical background in DSP. It is an excellent reference book that covers every major topic in reasonable depth, without getting too academic. It is the only DSP book I've ever needed, and I have designed on several imaging and data collection systems.

My only reservation is that they apparently removed the discussion of state space in the newest edition, which is one of the most practical and common techniques in designing control systems. But you can always get that info online, and you can try it out in Matlab.

I bought this because my undergraduate Digital Signal Processing(DSP) class did not have a required text, only poorly written notes handed down over the years, riddled with mistakes. I did some research and found this was required for the graduate level DSP class (DSP II), so I figured I'd save money by getting it now. In that context, it was worth every penny. Great examples, great depth on the material, and very exhaustive. Now keep in mind much of the material is still beyond my grasp, but the material that was in the scope of the class was invaluable. It was expected that I was bringing "the good book" to our homework sessions, and other people began to depend on it.

Now its written, in my opinion, more as a reference than a linear flow that a textbook that instructs usually is. However, I had no problem teaching myself from this book; I just had to skip around some. I received an 'A' in the class, and while I worked very hard for it, the book proved to be a necessity. In my work outside of academia, I've referenced on multiple occasions for material that I've yet to master.

One final note, a good friend recommended Lyon's text, and I was sad I invested in this book prior to hearing the rave reviews. I have personally NOT read Lyon's text, but I can say as a beginner student in DSP, this book was fantastic, and continues to hold its value.

I bought it as an undergrad. Easy to read and much more easy to implement its algorithms. It's hard to compare it to Schafer's book Discrete-Time Signal Processing (2nd Edition) (Prentice-Hall Signal Processing Series), they are both very good. The competition has worked and both author teams have done amazing job in renewing the content. If you need a reference book just buy it, it's worth its price