差错控制编码 第2版

　　This book owes its beginnings to the pioneering work of Claude Shannon in 1948 on reliable communication over noisy transmission channels. Shannon's central theme was that if the signaling rate of the system is less than the channel capacity， reliable communication can be achieved if one chooses proper encoding and decodingtechniques. The design of good codes and of efficient decoding methods， initiated by Hamming， Golay， and others in the late 1940s， has since occupied the energies of many researchers. Much of tlus work is highly mathematical in nature， and a thorough understanding requires an extensive background in modern algebra and probability theory. Tlus requirement has impeded many engineers and computer scientists who are interested in applying these techniques to practical systems. One of the purposes of this book is to present the essentials of this highly complex material in such a manner that it can be understood and applied with only a minimum of mathematical background.Coding researchin the 1950s and 1960s was devoted primarily to developing the theory of efficient encoders and decoders. In 1970 the first author published a book entitled An Introduction to Error-Correcting Codes， which presented the fundamen-tals of the previous two decades of work covering both block and convolutional codes. The approach was to explain the material in an easily understood manner，with a minimum of mathematical rigor. Then， in 1983， the authors published the first edition of this book. The approach again stressed the fundamentals of coding.In addition， new material on many of the practical applications of coding developed during the 1970s was introduced. Other major additions included a comprehensive treatment of the error-detecting capabilities of block codes and an emphasis on soft decoding methods for convolutional codes.In the 1980s and 1990s，the coding field exploded with new theoretical develop-ments， several of which have had significant practical consequences. Three of these new developments stand out in particular： the application of binary convolutional and block codes to expanded （nonbinary） modulation alphabets，the development of practical soft decoding methods for block codes， and the discovery of soft-input， soft-output iterative decoding techniques for block and convolutional codes. These new developments have revolutionized the way coding is applied to practical systems，affecting the design of high-speed data modems， digital mobile cellular telephony，satellite and space communications， and high-density data storage， to name just a few. A total of seven new chapters covering these topics have been added to this edition： two chapters on trellis- and block-coded modulation techniques， three chapters on soft decoding methods for block codes， and two chapters on turbo and low-density parity-check codes and iterative decoding.Because of the significant amount of new material and the need to maintain an emphasis on coding fundamentals， it was not possible to include certain topics in this edition. For example， the new developments in algebraic geometry codes and erasure correcting codes are not covered.

　　林舒（Shu Lin）教授是世界知名的编码理论专家，曾担任IEEE信息论学会主席。他本科毕业于台湾大学，博士毕业于美国的莱斯大学，后在夏威夷大学檀香山分校、得克萨斯农工大学、加州大学戴维斯分校等大学任教50余年。他是国际电气与电子工程师协会的终生杰出会士（IEEE Life Fellow），获得过洪堡研究奖（1996）、 IEEE第三千年奖章（2000）、NASA杰出公共成就奖章（2014）、马奎斯世界名人录终身成就奖（2019）和IEEE研究生教育奖（2020）。他在编码理论领域撰写过多部著作，“香农信息科学经典”系列里已出版了《差错控制编码 第2版》《信道编码：经典和现代方法》和《低密度奇偶校验码：设计、构造与统一框架》。丹尼尔·科斯特洛（Daniel J. Costello）教授是世界知名的编码理论专家，曾担任IEEE信息论学会主席。他本科毕业于西雅图大学，博士毕业于圣母大学，后在伊利诺伊理工学院和圣母大学任教50余年，并曾担任圣母大学电子工程系主任。他是国际电气与电子工程师协会的终生杰出会士（IEEE Life Fellow），获得过洪堡研究奖（1999）、IEEE第三千年奖章（2000）、IEEE信息论学会杰出服务奖（2013）和IEEE研究生教育奖（2015）。