Principles Of Digital Communication And Coding Classic Reprint

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.

Written by two distinguished experts in the field of digital communications, this classic text remains a vital resource three decades after its initial publication. Its treatment is geared toward advanced students of communications theory and to designers of channels, links, terminals, modems, or networks used to transmit and receive digital messages. The three-part approach begins with the fundamentals of digital communication and block coding, including an analysis of block code ensemble performance. The second part introduces convolutional coding, exploring ensemble performance and sequential decoding. The final section addresses source coding and rate distortion theory, examining fundamental concepts for memoryless sources as well as precepts related to memory, Gaussian sources, and universal coding. Appendixes of useful information appear throughout the text, and each chapter concludes with a set of problems, the solutions to which are available online.

Applications not usually taught in physics courses include theory of space-charge limited currents, atmospheric drag, motion of meteoritic dust, variational principles in rocket motion, transfer functions, much more. 1960 edition.