Information Theory and Rate Distortion Theory for Communications and Compression

Delve into the intricate world of information theory with Information Theory and Rate Distortion Theory for Communications and Compression by Jerry Gibson. Published in 2013 by Springer International Publishing AG, this insightful paperback spans 115 pages and provides a comprehensive exploration of rate distortion theory and its fundamental limits on lossy source coding.

This book addresses critical concepts often overlooked, such as the Shannon lower bound and the Shannon backward channel condition. It also covers rate distortion theory for sources with memory, making it an essential resource for both students and professionals in the field. Additionally, the practical application of rate distortion functions for composite sources is thoroughly examined, ensuring readers gain valuable insights into communication and compression techniques.

Enhance your understanding of information theory with this essential text that bridges theory and practice.