This book is intended to introduce coding theory and information theory to undergraduate students of mathematics and computer science. It begins with a review of probablity theory as applied to finite sample spaces and a general introduction to the nature and types of codes. The two subsequent cha...
Introduction to Coding and Information Theory (Undergraduate Texts in Mathematics) 作者: Steven Roman 出版社: Springer出版年: 1996-11-26定价: USD 79.95装帧: Hardcover丛书: Undergraduate Texts in MathematicsISBN: 9780140284553豆瓣评分 目前无人评价 ...
Chapter 9. Introduction to Information Theory and Coding In this chapter we review the basics of probability and coding. Axioms of probability are presented and commonly used terms associated with random variables are defined, including average, variance and standard deviation. We explain some basic ...
From the Publisher: This book has long been considered one of the classic references to an important area in the fields of information theory and coding theory. This third edition has been revised and expanded, including new chapters on algebraic geometry, new classes of codes, and the essential...
$75.00. Roth's book, based upon lecture notes for a course on coding theory that he has taught at Technion鈥擨srael Institute of Technology as a professor of computer science, pays far greater attention to generalized Reed-Solomon (GRS) and alternant codes than most introductory texts. ...
There are hundreds of online courses that will promise to teach programming with minimal effort but they often recycle content from YouTube and only scratch the surface of coding. CS101 is different. If you are motivated to learn real computer science and programming skills then you've come to...
The second problem ischannel coding, which concerns data transmission: Given a source of random events, and an imperfect system for transmitting information (anoisy channel), how can we encode a sequence of such events such that they will be robust to errors introduced by the channel? Again, ...
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Error-control coding is a discipline under the branch of applied mathematics called Information Theory, discovered by Claude Shannon in 1948 (6). Prior to this discovery, conventional wisdom said that channel noise prevented error-free communications. Shannon proved otherwise when he showed that ...
[Information Theory] L2: Entropy and Data Compression (I): Introduction to Compression, Inf.Theory and Entropy x => the outcome 6v6 => 1bit 5v5 => 1.48bit 4v4 => log_2(3) = 1.58bit 3v3 => 1.5bit