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Titlebook: Introduction to Coding Theory; J. H. Lint Textbook 19821st edition Springer Science+Business Media New York 1982 code.coding.coding theory

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发表于 2025-3-21 17:27:36 | 显示全部楼层 |阅读模式
书目名称Introduction to Coding Theory
编辑J. H. Lint
视频video
丛书名称Graduate Texts in Mathematics
图书封面Titlebook: Introduction to Coding Theory;  J. H. Lint Textbook 19821st edition Springer Science+Business Media New York 1982 code.coding.coding theory
描述Coding theory is still a young subject. One can safely say that it was born in 1948. It is not surprising that it has not yet become a fixed topic in the curriculum of most universities. On the other hand, it is obvious that discrete mathematics is rapidly growing in importance. The growing need for mathe­ maticians and computer scientists in industry will lead to an increase in courses offered in the area of discrete mathematics. One of the most suitable and fascinating is, indeed, coding theory. So, it is not surprising that one more book on this subject now appears. However, a little more justification of the book are necessary. A few years ago it was and a little more history remarked at a meeting on coding theory that there was no book available an introductory course on coding theory (mainly which could be used for for mathematicians but also for students in engineering or computer science). The best known textbooks were either too old, too big, too technical, too much for specialists, etc. The final remark was that my Springer Lecture Notes (# 201) were slightly obsolete and out of print. Without realizing what I was getting into I announced that the statement was not true a
出版日期Textbook 19821st edition
关键词code; coding; coding theory; computer science; discrete mathematics
版次1
doihttps://doi.org/10.1007/978-3-662-07998-0
isbn_ebook978-3-662-07998-0Series ISSN 0072-5285 Series E-ISSN 2197-5612
issn_series 0072-5285
copyrightSpringer Science+Business Media New York 1982
The information of publication is updating

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发表于 2025-3-21 22:45:48 | 显示全部楼层
Perfect Codes and Uniformly Packed Codes,recting code. The theorem was first proved by S. P. Lloyd (1957) (indeed for . 2) using analytic methods. Since then it has been generalized by many authors (cf. [44]) but it is still referred to as Lloyd’s theorem. The proof in this section is due to D. M. Cvetković and J. H. van Lint (1977; cf. [17]).
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0072-5285 topic in the curriculum of most universities. On the other hand, it is obvious that discrete mathematics is rapidly growing in importance. The growing need for mathe­ maticians and computer scientists in industry will lead to an increase in courses offered in the area of discrete mathematics. One o
发表于 2025-3-22 11:34:18 | 显示全部楼层
Linear Codes,mbols .., .., ..,... is coded into an infinite sequence of message symbols. For example, for rate 1/2 one could have .., .., ..,... → .., .., .., ..,..., where ... is a function of ..,.., ...,... For block codes we generalize (2.1.3) to arbitrary alphabets.
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Bounds on Codes,nce .. We are interested in the maximal number of codewords (i.e. the largest . which can be put in place of the *). An (., ., .) code which is not contained in any (., . + 1, .) code is called maximal.
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Introduction to Coding Theory978-3-662-07998-0Series ISSN 0072-5285 Series E-ISSN 2197-5612
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