Publication

Finite-Length Scaling of Parallel Turbo Codes on the BEC

2008
Conference Papers

Abstract

In this paper we consider the finite-length performance of turbo codes in the waterfall region assuming the transmission on the binary erasure channel. We extend the finite-length scaling law of LDPC codes [1] and of Repeat-Accumulate codes [3] to this ensemble and we derive the scaling parameter. The obtained performance estimations match very well with numerical results.

Official source

https://infoscience.epfl.ch/entities/publication/a01ddd98-943d-4ce9-94ec-b2d919a68a5f

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2008
Conference Papers

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/a01ddd98-943d-4ce9-94ec-b2d919a68a5f

About this result

Ontological neighbourhood

Information engineering

Information theory: Coding theory

Related concepts (17)

Turbo code

In information theory, turbo codes (originally in French Turbocodes) are a class of high-performance forward error correction (FEC) codes developed around 1990–91, but first published in 1993. They were the first practical codes to closely approach the maximum channel capacity or Shannon limit, a theoretical maximum for the code rate at which reliable communication is still possible given a specific noise level. Turbo codes are used in 3G/4G mobile communications (e.g.

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. An LDPC code is constructed using a sparse Tanner graph (subclass of the bipartite graph). LDPC codes are , which means that practical constructions exist that allow the noise threshold to be set very close to the theoretical maximum (the Shannon limit) for a symmetric memoryless channel.

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. The central idea is that the sender encodes the message in a redundant way, most often by using an error correction code or error correcting code (ECC). The redundancy allows the receiver not only to detect errors that may occur anywhere in the message, but often to correct a limited number of errors.

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