Information Theory and Error Correction Coding

Author: Sun Lihua, Editor-in-Chief
Publisher:
Publishing Date: 2005-03-01
Features: This book focuses on introducing the basic content and applications of information theory and error-correcting codes, divided into 10 chapters. The content includes: information and its measurement, discrete sources and source entropy, discrete channels and channel capacity, source coding theorem and channel coding theorem, average distortion measure and information rate-distortion function, rate-distortion coding theorem, algebraic foundations of error-correcting codes, linear block codes, cyclic codes, and convolutional codes. The book is written in an accessible and clear manner, with numerous examples provided for more complex concepts. It is suitable as a undergraduate textbook for related disciplines such as electronic technology, information engineering, communication engineering, radar, computer science, automation, and instrumentation in higher education institutions. It can also serve as a reference for researchers working in information science and systems engineering.