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Excerpt from Principles of Digital Communication and Coding
The applications-oriented engineer or student can obtain an understanding of channel coding for physical channels by tackling only Chapters 2, 4, and about half of 6. Avoiding the intricacies of ensemble-average arguments, the reader can learn how to code for noisy channels without making the additional effort to understand the complete theory.
At the opposite extreme, students with some background in digital communications can be guided through the channel-coding material in Chapters 3 through 6 in a one-semester or one-quarter course, and advanced students, who already have channel-coding background, can cover Part Three on source coding in a course of similar duration. Numerous problems are provided to furnish examples, to expand on the material or indicate related results, and occasionally to guide the reader through the steps of lengthy alternate proofs and derivations.
About the Publisher
Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com
This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
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Paperback. Zustand: New. Print on Demand. This book is the definitive guide to the fundamental concepts of digital communication and coding, as introduced by Claude Shannon in one remarkable series of papers in 1948. Shannon's mathematical theory of communication established the ultimate capabilities and limitations of digital communication systems, with profound impact on their subsequent evolution. The author provides a direct route to understanding this theory and its practical applications. This book rigorously establishes the two key parameters, entropy and capacity, as the fundamental measures of information within a digital system. Beginning with a lucid explanation of entropy, which quantifies the information contained in a source, it then develops the concept of channel capacity, which quantifies the maximum rate at which information can be reliably transmitted over a noisy channel. The author demonstrates how these concepts form the theoretical foundations for both source coding, which minimizes the number of bits required to digitally encode a source, and channel coding, which ensures that bits transmitted over a noisy channel are received correctly. These ideas are central to the design of any digital communication system, and underpin the vast majority of data transmission systems in the world today. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. Bestandsnummer des Verkäufers 9781333276508_0
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