 "Comprehensive book on DSP" | 2008-07-25 |
| - Reviewed By User: A1YILB2S3FPQ5R |
| This is a comprehensive book on DSP. It is perhaps too much for a student approaching DSP for the first time but it is a very useful text for advanced students. It is also a good reference on the subject. Beginners would do well to go through the elementary book Signal Processing First by one of the authors Schafer before tackling this book. |
| |
| "Discrete-Time Signal Processing" | 2008-05-01 |
| - Reviewed By rumpelteazer666 |
I've used D.T.S.P. for a course and found it very satisfying. I've also read the Schaum's Outline by Monson Hayes and "Understanding Digital Signal Processing" by Richard Lyons, but I wouldn't recommend them to anyone really interested in the subject.
This book can appear more intimidating at a first glance, but chances are that is just the fear of a mind not accustomed to precise, throughout exposition. Actually, such preciseness is the only way to really understand a subject and it is much harder to learn something without it (although, it's easier to delude oneself into thinking that one is learning).
While studying on the Hayes' book I often found myself trying to reconstruct the steps taken to build and use a mathematical representation of a problem, and realizing that there were some informations I was missing; that the exposition made sense only as long as I didn't put it under a magnifying glass to see the holes. As my interest for DSP and my hunger for thoroughness grew I had to turn more and more to the Oppenheim-Schafer in order to find the missing steps, until I decided that it would have been easier to use it as my primary book.
As for the requirements, there isn't really much: some basic calculus and, for some chapters, a knowledge of analog systems - something that you have probably already studied if you are doing this for university, and something that you should study if you are a diy enthusiast.
If this isn't your biggest interest and you only need to pass an exam, the Schaum's outline should be enough. If you want to build a solid foundation in DSP design, acquire new mathematical models and the skill to use them (in my opinion this is a central part in increasing one's intelligence) use this book. |
| |
 "Academic Propaganda" | 2007-05-14 |
| - Reviewed By nickname9988 |
Look, problems involving digital signals and systems can get very complicated, but the basics are just that--basic. This famous book on DSP is a quintessential example of academic propaganda: it misinforms the general public into thinking the subject matter is far harder than it is, while it privately informs insiders with very precise information.
I believe only a fool or an EE professor could say something substantially different. And please trust that some of the best and the brightest at MIT will laugh at you and think you a fool if you are seriously believing in this rubbish (they certainly laughed at me! in this wrong way). I worked there as an associate staff member for a brief period and I've seen that some insiders realize that this text is in fact a kind intellectual deception, a sort of propoganda. The intellegentsia of Georgia Tech are no better. All of them tend to put on a front of dignity and respect, but deep down very few, at least of those in power at either MIT or Georgia Tech, have the emotional or spiritual capacity necessary to imagine the "ideal spirit" between colleague and colleague or between student and faculty necessary to achieve the kind of relationship that a calm and serious manner (i.e., dignity) or a feeling of admiration (i.e., respect) that would serve to actually better an engineering task. Okay, okay, things got a little better when Georgia Tech was able to dump Schafer onto Hewlette Packard in 2005 (a model for Compassionate Institutional Granny Dumping Behavior). Still, the leadership's focus is mostly on creating a magician's instead of a mystic's aura of mystery. The latter is rooted in philosophy and faith, the former in the specious notion of "scientific method."
Don't get me wrong, it's okay to laugh (even cry...if only I had any tears left). It's just you've got to treat those around you holistically enough for them to realize that your laughing with them and for them. Sometimes these academic jokes are hard to get. ;-)
Spectacular Alternative:
Signal Processing and Linear Systems by B. P. Lathi
|
| |
 "Alright, let's say it's okay" | 2007-05-13 |
| - Reviewed By nickname9988 |
| The electrical engineering approach to teaching a subject can often be quite rugged in comparison with the other hard sciences. I believe that for many students, an honest and unbiased appreciation of this text takes quite a bit more time than other hard science texts. Treating this book with respect and his or her instructor with reverence, the talented student who dedicates herself or himself to be a disciple of DSP will profit from Discrete-Time Signal Processing. |
| |
| "Destined for a standard?" | 2006-05-14 |
| - Reviewed By lance467 |
| It is my pleasure to comment on this book which I recently purchased. I have two of Dr. Oppenheim's previous books. This book is a core integration of a topic with too many diverse starting points (mine was digital filters derived from Prony's method, not in the book by name). Dr. Bose was my first EE Professor. Alan Oppenheim was my second EE instructor. Alan (just finished MSEE at the time) had not published a book yet, but his focus was always on your questions. His product was your understanding. If this book is for your shelf, it will not harm it. If this topic is for your mind, this book was meticulously written for you. Lance Webb, PhDEE |
| |
| "Six star book on Digital Signal Processing" | 2006-03-01 |
| - Reviewed By calvinnme |
This is the outstanding 2nd edition of Oppenheim's classic DSP book, which for over two decades was the only real choice for a textbook on the subject. That was too bad, since the first edition was probably the worst thing I have ever seen in print - terse, incomprehensible, and with only a few awful and poorly illustrated examples. When I decided to take a refresher course in DSP, I was horrified to see our class would be using the second edition of that horrendous text. What I found instead was a completely rehabilitated textbook! This is not a beginner's DSP textbook by any stretch of the imagination, but absolutely everything is explained and there are plenty of well worked out examples. The end-of-chapter problems are broken down into simple, intermediate, and advanced problems with quite a few mind-puzzlers in the advanced section. Plus, the answers to the first 20 problems in every chapter are in the back of the book.
There is really nothing unique about the book's format. What does makes the book unique is the density and amount of material included. Just about every page is packed with well-explained important information. I highly recommend this book to anyone who has had a prior semester of an upper-level undergraduate class in Signals and Systems and wants to study DSP. An accompanying book that you might find helpful is "Understanding Digital Signal Processing" by Lyons. That book is good for getting an intuitive feel for DSP. Another book that will help you with some of the earlier concepts in this book (linear systems, DTFT, Z-transform, DFT, basic filter design) and some of the direct computations involved is "Schaum's Outline of Digital Signal Processing". Amazon does not show the table of contents, so I do that here:
1. Introduction.
2. Discrete-Time Signals and Systems.
Introduction. Discrete-time Signals: Sequences. Discrete-time Systems. Linear Time-Invariant Systems. Properties of Linear Time-Invariant Systems. Linear Constant-Coefficient Difference Equations. Frequency-Domain Representation of Discrete-Time Signals and Systems. Representation of Sequence by Fourier Transforms. Symmetry Properties of the Fourier Transform. Fourier Transform Theorems. Discrete-Time Random Signals. Summary.
3. The z-Transform.
Introduction. The z-Transform. Properties of the Region of Convergence for the z-Transform. The Inverse z-Transform. z-Transform Properties. Summary.
4. Sampling of Continuous-Time Signals.
Introduction. Periodic Sampling. Frequency-Domain Representation of Sampling. Reconstruction of a Bandlimited Signal from its Samples. Discrete-Time Processing of Continuous-Time Signals. Continuous-Time Processing of Discrete-Time Signals. Changing the Sampling Rate Using Discrete-Time Processing. Practical Considerations. Oversampling and Noise Shaping. Summary.
5. Transform Analysis of Linear Time-Invariant Systems.
Introduction. The Frequency Response of LTI Systems. System Functions for Systems Characterized by Linearity. Frequency Response for Rational System Functions. Relationship Between Magnitude and Phase. All-Pass Systems. Minimum-Phase Systems. Linear Systems with Generalized Linear Phase. Summary.
6. Structures for Discrete-Time Systems.
Introduction. Block Diagram Representation of Linear Constant-Coefficient Difference Equations. Signal Flow Graph Representation of Linear Constant-Coefficient Difference Equations. Basic Structures for IIR Systems. Transposed Forms. Basic Network Structures for FIR Systems. Overview of Finite-Precision Numerical Effects. The Effects of Coefficient Quantization. Effects of Roundoff Noise in Digital Filters. Zero-Input Limit Cycles in Fixed-Point Realizations of IIR Digital Filters. Summary.
7. Filter Design Techniques.
Introduction. Design of Discrete-Time IIR Filters from Continuous-Time Filters. Design of FIR Filters by Windowing. Examples of FIR Filter Design by the Kaiser Window Method. Optimum Approximations of FIR Filters. Examples of FIR Equiripple Approximation. Comments on IIR and FIR Digital Filters. Summary.
8. The Discrete Fourier Transform.
Introduction. Representation of Periodic Sequences: the Discrete Fourier Series. Summary of Properties of the DFS Representation of Periodic Sequences. The Fourier Transform of Periodic Signals. Sampling the Fourier Transform. Fourier Representation of Finite-Duration Sequences: The Discrete-Fourier Transform. Properties of the Discrete Fourier Transform. Summary of Properties of the Discrete Fourier Transform. Linear Convolution Using the Discrete Fourier Transform. The Discrete Cosine Transform (DCT). Summary.
9. Computation of the Discrete Fourier Transform.
Introduction. Efficient Computation of the Discrete Fourier Transform. The Goertzel Algorithm Decimation-in-Time FFT Algorithms. Decimation-in-Frequency FFT Algorithms. Practical Considerations Implementation of the DFT Using Convolution. Summary.
10. Fourier Analysis of Signals Using the Discrete Fourier Transform.
Introduction. Fourier Analysis of Signals Using the DFT. DFT Analysis of Sinusoidal Signals. The Time-Dependent Fourier Transform. Block Convolution Using the Time-Dependent Fourier Transform. Fourier Analysis of Nonstationary Signals. Fourier Analysis of Stationary Random Signals: the Periodogram. Spectrum Analysis of Random Signals Using Estimates of the Autocorrelation Sequence. Summary.
11. Discrete Hilbert Transforms.
Introduction. Real and Imaginary Part Sufficiency of the Fourier Transform for Causal Sequences. Sufficiency Theorems for Finite-Length Sequences. Relationships Between Magnitude and Phase. Hilbert Transform Relations for Complex Sequences. Summary. |
| |
| "Good book from initial reading" | 2005-09-26 |
| - Reviewed By User: A2G8PY52WN7W2C |
| I haven't gone through this book all the way yet since classes haven't started; however, it seems to be a very well written book that is easy to get the necessary concepts out of easily. Once the class is done I will try to add a further review. |
| |
 "yes, it is!" | 2004-12-26 |
| - Reviewed By ahmed_k_atwa |
This is the book that focuses on the concept more than any thing else which ,in turn, build up your insight through the material.
This book addresses discrete time signal processing issues in an ordinary fashion and doesn't cover more advanced topics like wavelets or statistical signal processing.
Maybe you would be interested in this book if you are that senior/first year graduate student looking forward a nice job with a high salary or a DSP engineer that is interested in keeping his job :)
Overall, nothing can get better than Oppenheim DSP 1975 but however, this is a nice volume if you don't have the preceding one.
It is almost the same quality isn't it? |
| |
| "Ok beginners book" | 2003-01-04 |
| - Reviewed By lsfidniejlieshlsdifjli |
| This book seems to follow the disappointing (to me at least) model of many engineering texts--that being the reluctance to present new mathematical concepts/techniques. Almost every mathematical concept/technique used in this book was already covered by the prerequisite text by Oppenheim, "Signals and Systems." It would seem that a subject so entrenched with complex numbers and polynomials could be taught in such a manner that would include theorems and concepts from these well-established mathematical disciplines. Note that I did not read the chapter on Hilbert transforms, or the section on the Discrete Cosine Transform, so I cannot comment on them. I did read all other sections. The sections on random signals do introduce new concepts, but they were only put in as a quick review of concepts meant to be studied in a random processes class. On the other hand, this is a very readable book, which has proven very useful. It does present MANY new engineering concepts. If analytic function theory had been introduced, this book probably would not have been as complete a reference for existing introductory DSP theory. However by avoiding the math it has limited the continuing students ability to develop insight into deeper theory, or develop new theory. |
| |
| "On the difference between 2nd Edition and 1st Edition" | 2002-08-08 |
| - Reviewed By Anonymous |
I used the author's book "Digital Signal Processing" in my college study, and I also read and cite the 1st Edition of
"Discrete-Time Signal Processing" during my work experience. That's a very good reference. But I don't have the
2nd Edititon. However, after going through the Table Of Contents of the 2nd Edition of "Discrete-Time Signal Processing", I
think Oppenheim&Schafer did a resaonable tradeoff to reflect state of the art in DSP domain. They add: Discrete Cosine Transform (DCT) which is mostly used in image compression, Multirate Signal
Processing which is used widely in modern DSP, and Oversampling and Noise Shaping Sampling for A/D and D/A
conversion. In consequence, they remove: Lattice Structure, IIR Filters Design, Cepstrum Analysis (often used in speech
signal processing) and Homomorphic Signal Processing, which are a bit sophisticated. And I guess the reason to
remove IIR Filter Dsign is there exists many computer-aided tools on digital filter design, and made this very easy. |
| |
Expedited Available
