Information Theory and Coding

Author: Fu Zi Yun
Publisher:
Publish Date: 2006-04-01
Features: This book systematically discusses the fundamental theories of information theory and error-correcting codes. It consists of 9 chapters, covering topics such as: the definition and measurement of information; the information entropy of discrete and continuous sources; channels and channel capacity; average distortion and the information-rate distortion function; the three fundamental theorems of Shannon's information theory: the distortionless source coding theorem, the limited distortion source coding theorem, and the channel coding theorem; several common and practical distortionless source coding methods, as well as the analytical methods for the basic content of channel error-correcting codes. The book is written in clear and concise language with well-defined concepts, strong systematicity, and readability. It can serve as a textbook or teaching reference for undergraduate students in related fields such as information and computational science, information and communication engineering, and other related disciplines. It is also suitable for researchers and engineering technicians in research institutes and universities who are engaged in theoretical, technical, and methodological research in information science.