"This book is an introduction to coding and information theory, with an emphasis on coding theory. It is suitable for undergraduates with a modest mathematical background. While some previous knowledge of elementary linear algebra is helpful, it is not essential. All of the needed elementary ...
3933 4 9:14:49 App 代数数论:Class Field Theory 1326 1 3:38:48 App 【密码学和编码理论】USJ MAD 4471: Introduction to Cryptography and Coding Theory 339 -- 19:24:45 App Introduction to Coding Theory 2847 -- 33:35:34 App 高思数学导引 高斯数学和高思数学有啥区别 《高思竞赛数学导引》...
Undergraduate Texts in Mathematics(共154册),这套丛书还有 《Introduction to Coding and Information Theory》《Applied Linear Algebra and Matrix Analysis》《Topics in the Theory of Numbers》《Rational Points on Elliptic Curves》《From Fermat to Minkowski》等。 喜欢读"An Introduction to Mathematical Cryp...
binary entropy function eg, f=0.1 => H2f = 0.53 => only two disk in the box and there exists an encoding system and a decoding system that can correct as many errors as you want (< all errors). => shanon's noisy channel coding theorem...
这个函数在假设检验和参数估计理论(entral importance in the theory of hypothesis testing and parameter estimation.)中是非常重要的。这种discrimination在信道和信源编码 channel and source coding中也起作用,并且与Shannon的工作中非常重要的熵entropy和互信息函数mutual information functions密切相关。信息论与数理统计...
The theory of finite fields is a branch of modern algebra that has come to the fore in recent years because of its diverse applications in such areas as combinatorics, coding theory, cryptology and the mathematical study of switching circuits.\nThe first part of this book presents an introduct...
At first celebrated mainly for its analytical powers, real-world applications of LP decoding are now within reach thanks to most recent research. This document gives an elaborate introduction into both mathematical optimization and coding theory as well as a review of the contributions by which ...
About this book Introduction to the basic concepts of probability theory: independence, expectation, convergence in law and almost-sure convergence. Short expositions of more advanced topics such as Markov Chains, Stochastic Processes, Bayesian Decision Theory and Information Theory. ...
This book introduces students with little or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including PyLab. It provides studen... (展开全部) 作者简介· ··· John V. Guttag is the Dugald C. Jackson Professor of Computer...
coding theory digital signatures discrete logarithms elliptic curves information theory lattices and cryptography probability theory information and communication, circuits Table of contents (8 chapters) Front Matter Pages i-xvii Download chapterPDF