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.
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Andrew James Viterbi, Ph.D., is an electrical engineer, former professor, and businessman.
James K. Omura, Ph.D., is an electrical engineer who taught at UCLA for fifteen years.
The ultimate reference work on digital communication
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. It is considered the outstanding book on the subject at the graduate level.
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.
Preface to the Dover Edition Preface Part One. Fundamentals of Digital Communication and Block Coding 1. Digital Communication Systems: Fundamental Concepts and Parameters 2. Channel Models and Block Coding 3. Block Code Ensemble Performance Analysis Part Two. Convolutional Coding and Digital Communication 4. Convolutional Codes 5. Convolutional Code Ensemble Performance 6. Sequential Decoding of Convolutional Codes Part Three. Source Coding for Digital Communication 7. Rate Distortion Theory: Fundamental Concepts for Memoryless Sources 8. Rate Distortion Theory: Memory, Gaussian Sources, and Universal Coding Bibliography Index Authors' Biographies
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