Logo

Essential Coding Theory by Venkatesan Guruswami, Atri Rudra, Madhu Sudan

Small book cover: Essential Coding Theory

Essential Coding Theory
by

Publisher: University at Buffalo
Number of pages: 266

Description:
Error-correcting codes (henceforth, just codes) are clever ways of representing data so that one can recover the original information even if parts of it are corrupted. The basic idea is to judiciously introduce redundancy so that the original information can be recovered even when parts of the (redundant) data have been corrupted.

Home page url

Download or read it online for free here:
Download link
(multiple PDF files)

Similar books

Book cover: Data Compression ExplainedData Compression Explained
by - mattmahoney.net
This book is for the reader who wants to understand how data compression works, or who wants to write data compression software. Prior programming ability and some math skills will be needed. This book is intended to be self contained.
(8159 views)
Book cover: Around Kolmogorov Complexity: Basic Notions and ResultsAround Kolmogorov Complexity: Basic Notions and Results
by - arXiv.org
Algorithmic information theory studies description complexity and randomness. This text covers the basic notions of algorithmic information theory: Kolmogorov complexity, Solomonoff universal a priori probability, effective Hausdorff dimension, etc.
(3775 views)
Book cover: Error-Correction Coding and DecodingError-Correction Coding and Decoding
by - Springer
This book discusses both the theory and practical applications of self-correcting data, commonly known as error-correcting codes. The applications included demonstrate the importance of these codes in a wide range of everyday technologies.
(3954 views)
Book cover: Lecture Notes on Network Information TheoryLecture Notes on Network Information Theory
by - arXiv
Network information theory deals with the fundamental limits on information flow in networks and optimal coding and protocols. These notes provide a broad coverage of key results, techniques, and open problems in network information theory.
(11707 views)