by Alan V. Oppenheim, Alan S. Willsky, with S. Hamid
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Product Description
This comprehensive book of signals and systems develops continuous-time and discrete-time concepts/methods. Highly regarded for its intellectual quality, it provides a solid foundation and life-long reference for anyone studying the most important methods or modern signal and system analysis.
Amazon.com Review
The second edition of this well-known and highly regarded text can be used as the basis for a one- or two-semester undergraduate course in signals and linear systems theory and applications. Topics include basic signals and systems concepts, linear time-invariant (LTI) systems, Fourier representations of continuous-time and discrete-time signals, the CT and DT Fourier transforms, and time- and frequency-domain analysis methods. The author emphasizes applications of the theory through numerous examples in filtering, sampling, communications, and feedback. The parallel development of continuous-time and discrete-time frequency domain methods allows the reader to apply insights and intuition across the two domains. It also facilitates a deeper understanding of the material by bringing into focus the similarities and differences between the two domains. The text also includes introductory chapters on communication systems and control theory. This book assumes that you have a background in calculus as well as exposure to complex numbers and elementary differential equations. Because of its thoroughness and unhurried pace, this text is highly recommended for students and those interested in self-study.
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Average Customer Review:
0 of 1 people found the following review helpful:
 Very Unhappy, 2008-12-14
I just took a class that required this book and I found it to be incredibly unhelpful. I thought the explanations were poor and the examples weren't worked out fully and completely. Also there weren't nearly enough practical examples of how to best solve the problems.
1 of 1 people found the following review helpful:
 Very Good Book , 2008-08-16
I am an Aerospace graduate student reading this book on my own time and pace (not taking the undergrad Electrical Engineering class that teaches/uses this book). I found out about this book because my friend (an EE student) was in that class and I asked him if I could look through it. After looking through it I decided to buy it, and I'm glad I did.
This is a VERY GOOD no-nonsense book. A brief personal background, I've read Control Systems Engineering by Norman S. Nise (Very good book!), and am now reading this book. I would say that this book is really not something you want to dive into without any prior background. Start with a good controls book (Nise, Ogata, etc) and learn the basics. THEN read this book to get the finer details.
Also, make sure you have the MATH background for this book. A lot of this book is dedicated to the fourier series, laplace xfrm, and z xfrm. If you have not had a formal class is fourier series, you might find this difficult to grasp. I would STRONGLY recommend you have a background of: SISO controls, ODEs, and PDEs.
If you have already taken these pre-reqs, this book is a great 'aha!' moment that nicely combines the concepts from all these areas and really gives you nice insights into how they are all related.
As for the problems, I'm not doing them. I'm reading this book for the material, not for a grade. I don't doubt the objections made that the problems are SIGNIFICANTLY harder than the examples. BUT, life is tough. I would recommend you look through my PDE book (Partial Differential Equations - Strauss) to see the BIG JUMP in the hw from the VERY skimpy examples. There are lots of books like this. They are made to be hard for a reason, you have to use your brain to think creatively. Dont expect every book to hold your hand through problem solving!
I would ignore the people who rate this book a 1 just because they cant solve the homework problems. The writing is VERY clear and to the point. Please note, this is NOT a book you want to rush through when reading. If you take your time you will find that its actually VERY insightful.
Given the fast pace of a normal semester, you might find this book to be very dense. In other words, you will have to absorb a TON of material in a short amount of time. So I can see this being a tough class to take. Reading it at your own pace, this book is pure bliss!
1 of 1 people found the following review helpful:
Not concise, not enough examples!, 2008-06-05
I have struggled through two classes utilizing this book, so I feel I do have a good sense of the material in it. It does say something about a textbook when your professor requires you to purchase a second book to fill in the gaps this book creates (Laplace transform). I feel I still do not have an adequate grasp of Fourier series - and I've read those sections time and time again. I eventually went to another textbook to teach myself the material on my own time.
The lack of mathematical examples make the processes of understanding the material WAY more difficult than it needs to be. Another sore point: A lot of the understanding comes from the practice problems. Too bad there are so few answers in the back of the book. It leaves you to question what you have learned - if anything from the problem.
1 of 2 people found the following review helpful:
 very useful item!, 2008-05-07
This book explain very clear what are differences about Fourier and Laplace Transform. Eventhough, those transform appears in the same range of time.
The writer of these book is well known Professors who is also editor of Prentice hall series in Signal processing.Eventhough, I just past these subject two times in Bachelor and Master coursework. I don't found it is useful for my research until recently. I should do more exercise in this book!.
2 of 2 people found the following review helpful:
 A (long) undergrad text. Not a reference. Not a grad text., 2007-10-20
Amazon's editorial reviews are correct. Don't be deceived into thinking that this is anything other than an introduction for the complete novice. It's a book with a particular style: long and wordy. It's only for a particular *kind* of novice: one who needs a lot of hand holding and every detail worked out. It's nearly 1000 pages. I learned the subject in 1976 from an earlier edition that was a third the size (I think) but there doesn't seem to be twice again as many new topics covered.
The mathematics is at an undergrad level, with much (but not all) developed as needed in the text. Topics are missing. For example the inverse Laplace transform is mentioned but not developed (perhaps an appropriate choice in a book for the novice), and the Butterworth and elliptic filters are mentioned, even with graphs of their frequency responses, but they are not defined in any way whatsoever.
Some topics are reserved for the exercises. For example, windowing is covered only in one long-ish problem.
The Amazon review says it's a good book for self-study. I'd agree, provided you understand that you are getting only an introduction at the undergraduate level. If you are a grad student or professional, or if you can't tolerate long detailed explanations, this is not the book for you.
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