Table of Contents
9 relations: Bit, Code, David J. C. MacKay, Dense graph, Error correction code, Linear code, Low-density parity-check code, Noisy-channel coding theorem, Robert G. Gallager.
Bit
The bit is the most basic unit of information in computing and digital communication.
Code
In communications and information processing, code is a system of rules to convert information—such as a letter, word, sound, image, or gesture—into another form, sometimes shortened or secret, for communication through a communication channel or storage in a storage medium.
See Sparse graph code and Code
David J. C. MacKay
Sir David John Cameron MacKay (22 April 1967 – 14 April 2016) was a British physicist, mathematician, and academic.
See Sparse graph code and David J. C. MacKay
Dense graph
In mathematics, a dense graph is a graph in which the number of edges is close to the maximal number of edges (where every pair of vertices is connected by one edge).
See Sparse graph code and Dense graph
Error correction code
In computing, telecommunication, information theory, and coding theory, forward error correction (FEC) or channel coding is a technique used for controlling errors in data transmission over unreliable or noisy communication channels.
See Sparse graph code and Error correction code
Linear code
In coding theory, a linear code is an error-correcting code for which any linear combination of codewords is also a codeword.
See Sparse graph code and Linear code
Low-density parity-check code
In information theory, a low-density parity-check (LDPC) code is a linear error correcting code, a method of transmitting a message over a noisy transmission channel.
See Sparse graph code and Low-density parity-check code
Noisy-channel coding theorem
In information theory, the noisy-channel coding theorem (sometimes Shannon's theorem or Shannon's limit), establishes that for any given degree of noise contamination of a communication channel, it is possible (in theory) to communicate discrete data (digital information) nearly error-free up to a computable maximum rate through the channel.
See Sparse graph code and Noisy-channel coding theorem
Robert G. Gallager
Robert Gray Gallager (born May 29, 1931) is an American electrical engineer known for his work on information theory and communications networks.
See Sparse graph code and Robert G. Gallager
References
Also known as Sparse graph codes.

