- Hardcover: 957 pages
- Publisher: Pearson; 2 edition (August 16, 1996)
- Language: English
- ISBN-10: 0138147574
- ISBN-13: 978-0138147570
- Product Dimensions: 7.7 x 1.5 x 9.4 inches
- Shipping Weight: 3.8 pounds (View shipping rates and policies)
- Average Customer Review: 3.6 out of 5 stars See all reviews (118 customer reviews)
- Amazon Best Sellers Rank: #37,202 in Books (See Top 100 in Books)
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Signals and Systems (2nd Edition) 2nd Edition
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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.
From the Publisher
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.
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Top customer reviews
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.
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.
The actual subject matter is pretty middle of the road, half the people i know liked, the other half didn't. The book does a good job of presenting the concepts in a clear and logical manner and is pretty easy to follow. I would recommend it to anyone who wishs to learn more about signal processing as it was essential for me to learn the material in class, as well as providing me with a good reference for use later in my undergrad career.