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'''Turbo codes''' are a class of recently-developed high-performance [[error-correcting code|error correction codes]] finding use in deep-space satellite communications and other applications where designers seek to achieve maximal information transfer over a limited-bandwidth communication link in the presence of data-corrupting noise. Of all practical error correction methods known to date, turbo codes come closest to approaching the [[Shannon limit]], the theoretical limit of maximum information transfer rate over a noisy channel.
The method was introduced by [[Claude Berrou|Berrou]], [[Alain Glavieux|Glavieux]], and Thitimajshima in their [[1993]] paper: "''Near Shannon Limit error-correcting coding and decoding: Turbo-codes''" published in the Proceedings of IEEE International Communications Conference. Turbo code refinements and implementation are an area of active research at a number of universities.
Turbo codes make it possible to increase available bandwidth without increasing the power of a transmission, or they can be used to decrease the amount of power used to transmit at a certain data rate.
Prior to Turbo codes, the best known technique combined a [[Reed-Solomon error correction]] [[block code]] with a [[Viterbi algorithm]] [[convolutional code]].
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