The renowned communications theorist Robert Gallager brings his lucid writing style to the study of the fundamental system aspects of digital communication for a one-semester course for graduate students. With the clarity and insight that have characterized his teaching and earlier textbooks, he develops a simple framework and then combines this with careful proofs to help the reader understand modern systems and simplified models in an intuitive yet precise way. A strong narrative and links between theory and practice reinforce this concise, practical presentation. The book begins with data compression for arbitrary sources. Gallager then describes how to modulate the resulting binary data for transmission over wires, cables, optical fibers, and wireless channels. Analysis and intuitive interpretations are developed for channel noise models, followed by coverage of the principles of detection, coding, and decoding. The various concepts covered are brought together in a description of wireless communication, using CDMA as a case study.
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"Professor Gallager is a legendary figure ... known for his insight and excellent style of exposition."
Professor Lang Tong, Cornell University
Professor Lang Tong, Cornell University
Book Description
The renowned communications theorist Robert Gallager describes the fundamental system aspects of digital communication for graduate students with the clarity and insight that has characterized his teaching and earlier textbooks. A simple framework, and links between theory and practice, encourages an intuitive understanding of modern systems and models.
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5 of 5 people found the following review helpful:
5.0 out of 5 stars
Comprehensive and clear,
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This review is from: Principles of Digital Communication (Hardcover)
This is, perhaps, the most "intuitive" textbook in communications engineering in recent memory. While the emphasis of this text is on theory, Gallager does a fantastic job in connecting the mathematics to engineering. While the target audience of the text is Graduate students, anyone with a decent background in real analysis or linear algebra will be able to get a lot of mileage out of Gallager's approach, which is to start with "toy models", i.e. simple models, and then modify these models accordingly for different environments (i.e. Wireless).
While the book surveys various aspects of communications engineering, such as information theory and wireless communications, the true "meat" of the book lies in its presentation of the most fundamental aspects of communications theory. Notably, this book, like Wozencraft's and Jacob's Principles of Communication Engineering, presents the signal space approach (using L2 orthonormal expansions to represent waveforms and noise) to a in a very clear manner. Most communications engineering books these days seem to (incorrectly) teach students (including myself as an undergraduate) to reason about problems in communications theory primarily in terms of cosines and sines. This text, however makes it clear that most problems in communications theory can be explained in terms of the signal space viewpoint. There probably isn't a single word, phrase, or mathematical expression that is not needed in this text. As another reviewer mentioned, readers have the benefit of being able to watch Gallager's online lectures, which complement this text, via MIT Open Courseware. Even if you have not studied communications engineering in great depth, I encourage you to watch the lectures to witness Gallager's clear style of articulating engineering principles.
6 of 7 people found the following review helpful:
5.0 out of 5 stars
Excellent,
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This review is from: Principles of Digital Communication (Hardcover)
I've liked this text very much and I prefer it over the text of Proakis for several reasons:
The level of presentation is deeper and more rigorous than Proakis. Proakis covers more material and systems while Gallager covers only what is basic and needed to capture the basic understanding of digital communications. Also, Gallager style of exposition and he gives nice intuitive explanation for the topic addressed. Another reason is that the MIT OCW contains complete video lectures by Gallager himself , which can be used to accompany the text. Lastly, Gallager is a very well-known information and communication theorist and he is an MIT professor. Breifly, I think this is an ideal text to get a graduate level understanding on the principles of digital communications.
2 of 2 people found the following review helpful:
5.0 out of 5 stars
Principles of Digital Communication,
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This review is from: Principles of Digital Communication (Hardcover)
Robert Gallager is an Emeritus professor at MIT, a legend in the field of communication theory. To no surprise, his book is a great resource. I bought this book for class and I am reading it cover to cover. So far (read up to chapter 5) the book is a relatively easy read. What I mean with by that is that it is not dry or painful to read. This book, as communications, is extremely mathematical and focuses more on how and why things work rather than how to make them work.
Overall a great book and resource. Gallager's old lectures, his MIT classes, where he used the book are available as video lectures in MIT's OpenCourseware at www.ocw.mit.edu search 6.450, or Principles of Digital Communications I.
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Inside This Book
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Key Phrases - Statistically Improbable Phrases (SIPs):
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sinusoid expansion, log pmf, effective stationarity, reflecting wall example, passband waveform, aliasing theorem, orthonormal waveforms, physical noise processes, binary orthogonal code, orthogonal signal sets, real orthonormal functions, expected codeword length, complex rvs, antipodal case, channel waveforms, minimum expected length, iid rvs, truncated sinusoids, sine process, quantization region, exponential rvs, normal rvs, nonuniform scalar quantizers, unique decodability, baseband waveform Key Phrases - Capitalized Phrases (CAPs): (learn more)
Proof of Theorem, Proof Let, Consider Figure, Discrete Sources Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Surprise Me!
sinusoid expansion, log pmf, effective stationarity, reflecting wall example, passband waveform, aliasing theorem, orthonormal waveforms, physical noise processes, binary orthogonal code, orthogonal signal sets, real orthonormal functions, expected codeword length, complex rvs, antipodal case, channel waveforms, minimum expected length, iid rvs, truncated sinusoids, sine process, quantization region, exponential rvs, normal rvs, nonuniform scalar quantizers, unique decodability, baseband waveform Key Phrases - Capitalized Phrases (CAPs): (learn more)
Proof of Theorem, Proof Let, Consider Figure, Discrete Sources Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Surprise Me!
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