 | Modern Digital and Analog Communication Systems (The Oxford Series in Electrical and Computer Engineering)
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 2008-02-24 - excellent book on communication theroy
This is a great book for building the foundations of communication theory. Serves great as an introductory text on analog and digital communications. Concepts are explained very well.
2008-01-30 - One of the best Comm Books
I read this book for 2 of my semesters in my undergrad. In the beginning I didn't like the book much but today all that what I got from this book is helping me back in my Grad studies. One of the finest. Much better than many around.
2008-01-14 - Never found anything better explained
My only concern about this book is that I have discovered it too late, after graduating in electronic engineering! Really, many explanations that Prof. Lathi gives about Shannon, Nyquist, and the exchange of bandwidth for SNR, both intuitive and rigorous, would have helped me very much at that time.
I really recommend this book for several reasons:
1) Clarity
2) examples
3) Historical background for the development of analog and digital communications.
I hope Lathi will write many other books like this one: I've never found any explanation better than his. He makes you love the subject.
2007-07-12 - The best book for engineers on communication systems
The nice thing about this textbook is that it provides the needed background in probability and random processes. The first nine chapters discuss in detail how digital and analog communication systems work. Chapter 1 is an introduction to communications systems, and signal analysis is covered in chapters 2 and 3. Here the student is encouraged to see a signal as a vector and to think of the Fourier spectrum as a way of representing a signal in terms of its vector components. Chapters 4 and 5 discuss amplitude and then angular modulation. In the digital age many might feel that modulation should be deemphasized. However, modulation is a basic tool of signal processing and its understanding is therefore still necessary. Chapter 6 deals with sampling, pulse code modulation, and delta modulation. Chapter 7 discusses the transmission of digital data while chapters 8 and 9 discuss emerging digital technologies in communications as they were considered cutting edge in 1998. Chapters 10 and 11 are the promised chapters on probability and random processes, sufficient to the point of understanding what is covered in this book. Chapters 12 and 13 discuss the behavior of communication systems in the presence of noise. Optimum signal detection is the subject of chapter 14, and information theory is introduced in chapter 15. Error control coding is the subject of the final chapter of the book.
The best features of this book are its visual style with plenty of diagrams and also its numerous worked out numerical examples. The mathematics is as complex as necessary to explain concepts, but the author doesn't lose sight of the forest for the trees in this aspect of the book. Exercises include not only traditional numerical type problems but computer exercises as well. Although there are entire books written on what this book covers in chapters, particularly in the last half of the book when the author is surveying topics rather than laying foundations, this is a good first book to read even on these advanced topics as far as getting the big picture and seeing how these topics tie into the design of communication systems. Highly recommended.
 2006-12-20 - Very nice explanations but scattered presentation
EXCELLENT:
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This is an amazing book with many sections that are gems! Shannon's theorem is explained so beautifully in such detail that I have never seen anything like it. The chapters on Optimum signal detection and error correction codes are so beautifully written and easy to follow that I want to congratulate the author. The section on how to calculate the power spectral density of different line codes like bipolar, split phase, and polar was the easiest to read yet very detailed.
BAD:
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However the book is scattered. The same material sometimes is covered in multiple chapters in bits and pieces. Partially this is because the author wants to first introduce some of the concepts without discussing probability and later covers them again after studying probability. But, this still can't explain why things are so scattered. The new chapters added in the third edition covering some of the new applications are not written well. The contribution by a guest author to one of the chapters was horrible!
What will make this book excellent is to get rid of the guest author and some of the new material, clean up the presentation of the fundamentals and present in a more unified matter.
This book is a good relief from reading Proakis. I have read many advanced books which were easy to read. The reason Proakis was hard to read wasn't because the subject was advanced but simply it wasn't written well.
p.s. My second edition was read so often that the glued pages started falling out. I bought the third edition and once again the glued pages fell out! I don't know if it is because this is one of the books I most frequently use or just the binding should be improved.
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