Information Theory and Coding

Author: Qiu Peiliang
Publisher:
Publish Date: 2003-12-01
Features: This book is a national-level planning textbook for the 15th Five-Year Plan. Information theory and coding are applied sciences that study the general principles and specific implementations in the process of information transmission and processing. They are the fundamental theories of modern information science and technology engineering. This book is written based on the strengths of classic domestic and international textbooks and the author's teaching experience. It is both profound and accessible, maintaining the completeness and systematicity of theory while being clear, easy to read, and understand, and it also introduces new developments in information theory. The textbook primarily introduces Shannon's information theory and related coding techniques. The content includes the following 11 chapters: Introduction, Entropy and Mutual Information, Lossless Coding of Discrete Memoryless Sources, Channels, Channel Capacity and Channel Coding Theorem, Rate-Distortion Theory and Source Coding under Fidelity Criteria, Restricted Systems and Restricted System Coding, Linear Block Error-Correcting Codes, Cyclic Codes, Convolutional Codes, Turbo Codes and Iterative Decoding, Multiuser Information Theory and Multiuser Coding. This book is suitable as a textbook for senior undergraduate and graduate students majoring in electronic and information-related fields in higher education institutions. It also provides significant reference value for professionals and researchers working in the field of information science and technology.