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For undergraduate-level courses in Signals and Systems. This comprehensive exploration of signals and systems develops continuous-time and discrete-time concepts/methods in parallel -- highlighting the similarities and differences -- and features introductory treatments of the applications of these basic methods in such areas as filtering, communication, sampling, discrete-time processing of continuous-time signals, and feedback. Relatively self-contained, the text assumes no prior experience with system analysis, convolution, Fourier analysis, or Laplace and z-transforms. Review: fine basic presentation of linear systems - This book presents basic concepts related to linear systems. When I studied the book, I did not have time to work the problems, but the problems form a very large part of the book. On the other hand, I did work to understand the book, and found that, for the most part, I was able to do this adequately. I did find that Chapter 7 on sampling was difficult, and I had to expend a fair amount of effort to understand it. The text discussed Fourier series, Fourier transforms, the Laplace transform and the z-transform. I have had some previous exposure to all of these topics, but still found their discussions interesting and useful. My previous experience was from the viewpoint of pure mathematics, and an applied perspective like this can bring additional insight over purely mathematical treatments. The authors placed the discussion in the context of both continuous and discrete systems. I have had a fair amount of experience working with discrete systems, so this posed no great problem to me. Completely new to me were sampling, communications, and linear feedback systems. I really enjoyed their treatment of these subjects. They present numerous examples, which I found to be very helpful. In addition, although they would discuss continuous and discrete situations side by side, they were very clear, and I did not find this confusing. My overall assessment is that, with my background, this was suitable for self-study. I would place its intellectual level at about the sophomore or junior level, but I believe many people who come to this book with a less extensive background than I would find it very difficult to read, as there would be many new concepts and principles to digest. I found that I often had to read and re-read, working carefully through the text, in the areas with which I had no familiarity. I really enjoyed reading about linear systems, and I feel that this book presents this in a way that one can appreciate it as a really profound contribution to civilization. I also feel that it provides, even when one does not work the problems, as I did not, a really solid base from which to continue study in signal processing. I recommend it highly, for the well-prepared reader, for self-study. Review: The best, but get Lathi's if you struggle with it - This is one of the finest text books I have read. It is a bit difficult but that is just the nature of the subject. If you struggle with the book, get the one by Lathi to help you bridge the gap. The book by Lathi explains some background knowledge that you are supposed to have in more details than Oppenheim. For instance, it explains the difference between zero state response and zero input response in a great detail. But Oppenheim has a few better chapters on somewhat more advanced topics, for instance on sampling. So, get both if you can. I use both book often when learning this subject. The topics covered in signals and system are so critical and interesting. I wish I had taken such a course before. I would recommend that all engineering students take this course. This course is somewhat difficult among undergrad level courses. But there are excellent resources to help you. The two books mentioned are excellent. UC Berkely offers a free video course on this. MIT has free course material on its web site also. The one by UC Berkely is quite easy, and the one by MIT is more challenging. Do the homework offered by MIT, and they are interesting and rewarding. The one by MIT follows Oppenheim's book precisely, another benefit for self-learners. Two years after I used this book to learn the subject, I am now doing some signal processing. I went back to this book for some information. I now appreciate more about this book. It is very clear. It may be wordy for experienced people. But you could always skip certain sections. But if a book misses some details you need, it is much worse. I only wish the author could add a chapter on DFT. I had to go to another book for DFT.
| Best Sellers Rank | #139,539 in Books ( See Top 100 in Books ) #3 in Computer Hardware DSPs #5 in Signal Processing #148 in Internet & Telecommunications |
| Customer Reviews | 4.2 out of 5 stars 210 Reviews |
M**E
fine basic presentation of linear systems
This book presents basic concepts related to linear systems. When I studied the book, I did not have time to work the problems, but the problems form a very large part of the book. On the other hand, I did work to understand the book, and found that, for the most part, I was able to do this adequately. I did find that Chapter 7 on sampling was difficult, and I had to expend a fair amount of effort to understand it. The text discussed Fourier series, Fourier transforms, the Laplace transform and the z-transform. I have had some previous exposure to all of these topics, but still found their discussions interesting and useful. My previous experience was from the viewpoint of pure mathematics, and an applied perspective like this can bring additional insight over purely mathematical treatments. The authors placed the discussion in the context of both continuous and discrete systems. I have had a fair amount of experience working with discrete systems, so this posed no great problem to me. Completely new to me were sampling, communications, and linear feedback systems. I really enjoyed their treatment of these subjects. They present numerous examples, which I found to be very helpful. In addition, although they would discuss continuous and discrete situations side by side, they were very clear, and I did not find this confusing. My overall assessment is that, with my background, this was suitable for self-study. I would place its intellectual level at about the sophomore or junior level, but I believe many people who come to this book with a less extensive background than I would find it very difficult to read, as there would be many new concepts and principles to digest. I found that I often had to read and re-read, working carefully through the text, in the areas with which I had no familiarity. I really enjoyed reading about linear systems, and I feel that this book presents this in a way that one can appreciate it as a really profound contribution to civilization. I also feel that it provides, even when one does not work the problems, as I did not, a really solid base from which to continue study in signal processing. I recommend it highly, for the well-prepared reader, for self-study.
X**U
The best, but get Lathi's if you struggle with it
This is one of the finest text books I have read. It is a bit difficult but that is just the nature of the subject. If you struggle with the book, get the one by Lathi to help you bridge the gap. The book by Lathi explains some background knowledge that you are supposed to have in more details than Oppenheim. For instance, it explains the difference between zero state response and zero input response in a great detail. But Oppenheim has a few better chapters on somewhat more advanced topics, for instance on sampling. So, get both if you can. I use both book often when learning this subject. The topics covered in signals and system are so critical and interesting. I wish I had taken such a course before. I would recommend that all engineering students take this course. This course is somewhat difficult among undergrad level courses. But there are excellent resources to help you. The two books mentioned are excellent. UC Berkely offers a free video course on this. MIT has free course material on its web site also. The one by UC Berkely is quite easy, and the one by MIT is more challenging. Do the homework offered by MIT, and they are interesting and rewarding. The one by MIT follows Oppenheim's book precisely, another benefit for self-learners. Two years after I used this book to learn the subject, I am now doing some signal processing. I went back to this book for some information. I now appreciate more about this book. It is very clear. It may be wordy for experienced people. But you could always skip certain sections. But if a book misses some details you need, it is much worse. I only wish the author could add a chapter on DFT. I had to go to another book for DFT.
A**O
How can anybody give it less than 5 stars?
This book is a classic in Signals and Systems. The explanations are extremely rigorous and clear and every word in this book is for a purpose. It is enormously useful in understanding the material. I wish other areas of engineering and science I'm interested in had books like this, because without such a book, it takes years to get to the bottom of things in a new area. With this book, you understand Signals and Systems very quickly. If you don't understand something in this book, it means that you skipped something in the previous chapters. I don't understand how anybody can dare to give it less than 5 stars. This book is like a Bible - it is perfect - you cannot add to it or subtract to it (proof: if it were possible, Oppenheim would have done it already). This is a joke of course, but still, this book is written extremely well. To the people who complain about long explanations - what would you prefer: (1) adequately long explanations of every point, which you can skip if you don't need them, but they are always here to help you if you need help, or (2) a short book with brief or missing explanations, which means you can read it quickly, but also means that if you got stuck on some concept, you're on your own? If you prefer (2)... well, perhaps you're smart enough to figure everything yourself, but I will gladly take (1).
G**O
Good book. Exercises could be improved
This book is really good in terms of explaining the concepts in a very in-depth and thorough way. However, improvements can be made. First, it's a little bit old school and does not talk about how to use software such as Matlab for signal analysis/processing. Second, the exercises are not very accessible. There's too many of them, and if you are learning the material independently, it's really hard to choose which ones you should solve. In addition, many of the harder ones are really tedious yet not particularly useful/practical.
Y**I
This is very a great book. I bought this book for learning some ...
This is very a great book. I bought this book for learning some basic idea in the relative fields, because I want to prepare for PhD degree in discrete time signal processing. I read this book to learn some fundamental things. This book can be treated as a first book in learning Signals and systems, and other courses such as discrete time signal processing, contral systems and communication systems are based on the material taught in this book. In this book, the author not only introduce the continuous time signal, but also its discrete counterpart in great detail. The organization of this book is also really great. But I read chapter 9 and 10 right after finfsh reading the first 6 chapters, because I think it is better to know all the theory first. Then, it would be easier to understand its applications. Also, It is really easy to understand the meaning even for a student whose monther tongue is not English like me! In this book, the author give us a brief introduction to several of its applications including sample, communication systems and feedback systems.
G**R
A (long) undergrad text. Not a reference. Not a grad text.
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.
P**D
Suggestion
The book is great, especially when coupled with Alan Oppenheim's lectures. I highly recommend Alan Oppenheim's Signals and Systems lectures on MIT OCW. The lectures are on youtube. The book makes more sense when you follow along with the lectures.
B**R
The Perfect Cure for Insomnia
Ugh, with a professor as horrible as the one I had for this class, I would normally rely on reading the textbook to learn everything I need to know. Haha good luck! This is the driest, most boring book I've ever been forced to purchase. With the exception of one or two tables, the entire thing is useless. The examples don't make sense, the text is near impossible to follow and understand, and the problems...dear god don't even get me started on the problems. Neglecting the fact that even if you knew what you were doing they'd take you forever to complete, let's say your in chapter 6 working on a problem. After reading, you realize you need a formula buried on one random page in chapter 4 that you've never seen and then it tells you to solve the problem by taking the answer you got from some random problem back in chapter 3 that you probably haven't even done unless you worked through the entire book cover to cover -- which would probably kill a healthy person. I'm a college student so I know, regardless of my review, if you're reading this, chances are your college is gonna make you buy this hunk of crud they call a textbook. Just pray that doesn't happen. See if you can find a digital copy online. Some kids in my class found one for free. The best thing I ever did with this book was sell it back to amazon for about 80% of what I paid for it and turn the profit into a coat rack. Eat that, Signals and Systems!(Amazon textbook sell-back...gotta love it!).
S**T
Great read, respectable material.
Book contains very dense material, it expects the reader to have some mathematical maturity. Though this can be brushed up along the way. This book is used by the well known and free signals and systems MIT Course led by Oppenheim himself.
V**A
On time delivery
Good quality of book and more importantly the delivery in time. Good supplier to rely on. One can order from him.
S**U
Received in Very good condition
We can get books that are in good condition for less price!
A**O
venditore non molto affidabile
il libro mi รจ arrivato tutto rovinato, il venditore mi ha proposto un rimborso parziale, ad ogni modo il libro non me l'hanno cambiato con uno nuovo e integro
B**B
Classic text
Great organisation of topics. Good mathematical exposition.
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