Information Theory and Coding

Author: Chen Yun
Publisher:
Publish Date: 2002-08-01
Features: This book does not pursue advanced mathematical theories but strives to describe physical concepts in plain and vivid language, making it especially suitable for beginners and readers who have mastered advanced mathematics and engineering mathematics in engineering. The book systematically discusses Shannon information theory. It mainly introduces the definition of information, the origin, development, and research content of information theory; the three fundamental concepts of Shannon information theory, namely source entropy, channel capacity, and the information rate-distortion function, as well as the three corresponding coding theorems for these concepts; and the basic methods of source coding and channel coding. For the convenience of teaching and self-study by readers, exercises are provided at the end of each chapter. This book does not pursue advanced mathematical theories but strives to describe physical concepts in plain and vivid language, making it especially suitable for beginners and readers who have mastered advanced mathematics and engineering mathematics in engineering. This book can serve as a textbook or teaching reference for senior undergraduate students and junior graduate students in information science and information technology at universities and research institutions, and can also be used as a reference for scientific research and engineering technicians engaged in information science and information technology.