Online Books
Online Books
Computer Science Books
Artificial Intelligence
Online Books
Compiler Design
Online Books
Computation Theory
Online Books
Computer Algorithm
Online Books
Computer Architecture
Online Books
Computer Graphics
Online Books
Functional Programming
Online Books
Information Theory
Online Books
Numerical Computation
Online Books
OOD/OOP
Online Books
Operating System
Online Books
Programming Theory
Online Books
Online Books
Online Books Home About Us Link to us Sitemap Contact Us Post Queries
Online Books
Lecture Notes On Information Theory
Online Books
Ratings
Online BooksOnline BooksOnline BooksOnline BooksOnline Books
Online Books
Download
Lecture Notes On Information Theory
by


File Type :PDF
Number of Pages :342

Description
These notes provide a graduate-level introduction to the mathematics of Information Theory. Topics covered includes: Information measures: entropy, divergence and mutual information, Sufficient statistic, Extremization of mutual information, Lossless data compression, Channel coding, Linear codes, Lossy data compression, Applications to statistical decision theory, Multiple-access channel, Entropy method in combinatorics and geometry.
Online Books
Online Books
 
Similar Books
Online Books
Lecture Notes On Information Theory
Information Theory, Inference, and Learning Algorithms (David J.C. MacKay)
An Introduction to Information Theory and Entropy (Tom Carter)
Online Books
Online Books
Online Books
Online Books