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Signals and Systems 2nd Edición
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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.
- ISBN-100138147574
- ISBN-13978-0138147570
- Edición2nd
- EditorialPearson
- Fecha de publicación6 Agosto 1996
- IdiomaInglés
- Dimensiones7.8 x 1.6 x 9.1 pulgadas
- Número de páginas1000 páginas
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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 book assumes no prior experience with system analysis, convolution, Fourier analysis, or Laplace and z-transforms.
FEATURES:
- Develops continuous-time and discrete-time concepts in parallel ― highlighting the similarities and differences. E.g.:
- Ch. 1 on basic signals and system properties, Ch. 2 on linear time-invariant systems, and Ch. 3 on Fourier series representation each develop the continuous-time and discrete-time concepts in parallel.
- Ch. 9 on the Laplace Transform and Ch. 10 on the Z-transform deal with the two domains separately, but often draw parallels between results in the two domains.
- Introduces some of the important uses of the basic methods that are developed ― e.g., filtering, communication, sampling, discrete-time processing of continuous-time signals, and feedback.
- NEW―A companion book contains MATLAB-based computer exercises for each topic.
- NEW―Material on Fourier analysis has been reorganized significantly to provide an easier path for the reader to master and appreciate the importance of this topic. Now represented in four chapters, each of which is far more streamlined and focused, introducing a smaller and more cohesive set of topics.
- NEW―Frequency-domain filtering is introduced very early in the development to provide a central and concrete illustration of why this topic is important and to provide some intuition with a minimal amount of mathematical preliminaries.
- NEW―Relocates coverage of Sampling before Communication. * Allows for discussion of important forms of communication, namely those involving discrete or digital signals, in which sampling concepts are intimately involved.
- NEW―Chapter-end Problems
- They provide a better balance between exercises developing basic skills and understanding ones that pursue more advanced problem-solving skills. The new edition organizes chapter-end problems into four types of sections which makes it easier for the reader to locate the problems that will best serve their purposes; and provides two types of basic problems, ones with answers (but not solutions); and ones with solutions to provide immediate feedback, while attempting to master the material.
The four types of chapter-end problems are―
- Basic Problems with Answers.
- Basic Problems.
- Advanced Problems.
- Extension Problems.
Detalles del producto
- Editorial : Pearson; 2nd edición (6 Agosto 1996)
- Idioma : Inglés
- Tapa dura : 1000 páginas
- ISBN-10 : 0138147574
- ISBN-13 : 978-0138147570
- Dimensiones : 7.8 x 1.6 x 9.1 pulgadas
- Clasificación en los más vendidos de Amazon: nº334,834 en Libros (Ver el Top 100 en Libros)
- nº16 en Procesamiento de Señales
- nº133 en Informática de Sistemas de Análisis y Diseño (Libros)
- nº390 en Internet y Telecomunicaciones
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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.
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.
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).
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Calificado en Canadá el 19 de mayo de 2023
ad ogni modo il libro non me l'hanno cambiato con uno nuovo e integro



