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.
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.
Customer Reviews:
Avg. Customer Rating: 3.5 / 5.0
Very Good Book:
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... more info
Not concise, not enough examples!:
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... more info
very useful item!:
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!.
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... more info
