Modern Coding Theory and Applications

Author: Zhang Zhongpei
Publisher:
Publish Date: 2007-01-01
Features: Since the emergence of Turbo codes in 1993, channel coding technology has entered a new era. In 1996, the rediscovery of Low-Density Parity-Check codes brought channel coding close to the Shannon capacity limit, sparking extensive research in the fields of communication and coding. This book aims to showcase the revolutionary changes and recent advancements in channel coding technology over the past few years. These innovative achievements differ fundamentally from classical coding and have been refined into modern coding theory. The book presents the overall framework of modern coding theory and its specific applications in communication systems, comprising 12 chapters. It introduces the fundamental principles of channel coding and the basic concepts of modern coding; the channel capacity closely related to channel coding; the theoretical foundations of modern coding, including factor graphs and sum-product algorithms; the basic encoding and decoding methods of the three major mainstream codes in recent years (Turbo codes, LDPC codes, and Turbo-like codes); Turbo decoding based on the belief propagation algorithm; code optimization design and performance analysis; the application of modern coding theory in communication systems and the application of modern coding in communication standards; and the FPGA design and implementation of modern coding. This book has been written with the needs of various readers in mind, allowing them to read it cover-to-cover or selectively based on their requirements. It is suitable for senior undergraduate students, graduate students, and teachers in information-related disciplines of universities and colleges, as well as researchers and engineers engaged in channel coding, communication system design, and communication information processing.