差錯控制編碼 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）教授是世界知名的編碼理論專家，曾擔任IEEE信息論學會主席。他本科畢業(yè)于臺灣大學，博士畢業(yè)于美國的萊斯大學，后在夏威夷大學檀香山分校、得克薩斯農(nóng)工大學、加州大學戴維斯分校等大學任教50余年。他是國際電氣與電子工程師協(xié)會的終生杰出會士（IEEE Life Fellow），獲得過洪堡研究獎（1996）、 IEEE第三千年獎章（2000）、NASA杰出公共成就獎章（2014）、馬奎斯世界名人錄終身成就獎（2019）和IEEE研究生教育獎（2020）。他在編碼理論領(lǐng)域撰寫過多部著作，“香農(nóng)信息科學經(jīng)典”系列里已出版了《差錯控制編碼 第2版》《信道編碼：經(jīng)典和現(xiàn)代方法》和《低密度奇偶校驗碼：設(shè)計、構(gòu)造與統(tǒng)一框架》。丹尼爾·科斯特洛（Daniel J. Costello）教授是世界知名的編碼理論專家，曾擔任IEEE信息論學會主席。他本科畢業(yè)于西雅圖大學，博士畢業(yè)于圣母大學，后在伊利諾伊理工學院和圣母大學任教50余年，并曾擔任圣母大學電子工程系主任。他是國際電氣與電子工程師協(xié)會的終生杰出會士（IEEE Life Fellow），獲得過洪堡研究獎（1999）、IEEE第三千年獎章（2000）、IEEE信息論學會杰出服務獎（2013）和IEEE研究生教育獎（2015）。