Iteratively Decodable Codes on the Art of Error Correcting Coding

Iteratively Decodable Codes on the Art of Error Correcting Coding
ISBN-10
1542854784
ISBN-13
9781542854788
Pages
34
Language
English
Published
2017-02-03
Publisher
Createspace Independent Publishing Platform
Author
Alexander Carter

Description

Iterative decoding may be defined as a technique employing a soft-output decoding algorithm that is iterated several times to improve the error performance of a coding scheme, with the aim of approaching true maximum-likelihood decoding (MLD) with least complexity. When the underlying error correcting code is well designed, increasing the number of iterations results in an improvement of the error performance. Iterative decoding techniques date back to 1954 with the work of Elias (1954) on iterated codes. Later, in the 1960s, Gallager (1962) and Massey (1963) made important contributions. Iterative decoding in those days was referred to as probabilistic decoding. The main concept was then, as it is today, to maximize the a posteriori probability of a symbol being sent, given a noisy version of the coded sequence.