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{{Use dmy dates|date=January 2020}}
{{Use American English|date = March 2019}}
In [[information theory]], '''turbo codes'''
The name "turbo code" arose from the feedback loop used during normal turbo code decoding, which was analogized to the exhaust feedback used for engine [[turbocharging]]. [[Joachim Hagenauer|Hagenauer]] has argued the term turbo code is a misnomer since there is no feedback involved in the encoding process.<ref>{{cite
==History==
The fundamental patent application for turbo codes was filed on 23 April 1991. The patent application lists [[Claude Berrou]] as the sole inventor of turbo codes. The patent filing resulted in several patents including [https://
The first public paper on turbo codes was "''Near Shannon Limit Error-correcting Coding and Decoding: Turbo-codes''".<ref>{{Citation|chapter-url=https://www.researchgate.net/publication/3604275 |
Turbo codes were so revolutionary at the time of their introduction that many experts in the field of coding did not believe the reported results. When the performance was confirmed a small revolution in the world of coding took place that led to the investigation of many other types of iterative signal processing.<ref>{{cite journal |author=Erico Guizzo |title=CLOSING IN ON THE PERFECT CODE |journal=IEEE Spectrum |date=Mar 1, 2004 |url=https://spectrum.ieee.org/closing-in-on-the-perfect-code|archive-url=https://archive.today/20230423205925/https://spectrum.ieee.org/closing-in-on-the-perfect-code|url-status=dead|archive-date=23 April 2023}}</ref>
The first class of turbo code was the parallel concatenated convolutional code (PCCC). Since the introduction of the original parallel turbo codes in 1993, many other classes of turbo code have been discovered, including
In addition to turbo codes, Berrou also invented recursive systematic convolutional (RSC) codes, which are used in the example implementation of turbo codes described in the patent. Turbo codes that use RSC codes seem to perform better than turbo codes that do not use RSC codes.
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==An example encoder==
There are many different instances of turbo codes, using different component encoders, input/output ratios, interleavers, and [[Punctured code|puncturing patterns]]. This example encoder implementation describes a classic turbo encoder, and demonstrates the general design of parallel turbo codes.
This encoder implementation sends three sub-blocks of bits. The first sub-block is the ''m''-bit block of payload data. The second sub-block is ''n/2'' parity bits for the payload data, computed using a recursive systematic [[convolutional code]] (RSC code). The third sub-block is ''n/2'' parity bits for a known [[permutation]] of the payload data, again computed using an RSC code. Thus, two redundant but different sub-blocks of parity bits are sent with the payload. The complete block has {{nowrap|''m'' + ''n''}} bits of data with a code rate of {{nowrap|''m''/(''m'' + ''n'')}}. The [[permutation]] of the payload data is carried out by a device called an [[interleaver]].
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==Bayesian formulation==
From an [[artificial intelligence]] viewpoint, turbo codes can be considered as an instance of loopy [[belief propagation]] in [[Bayesian network]]s.<ref>{{Citation
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==See also==
* [[BCJR algorithm]]▼
* [[Convolutional code]]
* [[
* [[Soft-decision decoding]]▼
* [[Interleaver]]
▲* [[BCJR algorithm]]
* [[Low-density parity-check code]]
* [[Serial concatenated convolutional codes]]
▲* [[Soft-decision decoding]]
* [[Turbo equalizer]]
* [[
==References==
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===Publications===
* {{cite journal |last=Battail
* {{cite journal |last1=Brejza |first1=M.F. |last2=Li |first2=L. |last3=Maunder |first3=R.G. |last4=Al-Hashimi |first4=B.M. |last5=Berrou |first5=C. |last6=Hanzo |first6=L. |url=https://eprints.soton.ac.uk/378161/1/tutorial.pdf |doi=10.1109/COMST.2015.2448692
*{{cite conference |last1=Garzón-Bohórquez
==External links==
*
* [http://www.csee.wvu.edu/~mvalenti/documents/valenti01.pdf "The UMTS Turbo Code and an Efficient Decoder Implementation Suitable for Software-Defined Radios"] {{Webarchive|url=https://web.archive.org/web/20161020193559/http://www.csee.wvu.edu/~mvalenti/documents/valenti01.pdf |date=20 October 2016 }} (''International Journal of Wireless Information Networks'')
* {{
* [
* [http://www-turbo.enst-bretagne.fr/ International Symposium On Turbo Codes]
* [http://www.iterativesolutions.com/Matlab.htm Coded Modulation Library], an open source library for simulating turbo codes in matlab
* [http://www.ifp.uiuc.edu/~singer/journalpapers/tuchler_2002a.pdf "Turbo Equalization: Principles and New Results"] {{Webarchive|url=https://web.archive.org/web/20090227062216/http://www.ifp.uiuc.edu/~singer/journalpapers/tuchler_2002a.pdf |date=27 February 2009 }}, an ''[[IEEE Transactions on Communications]]'' article about using convolutional codes jointly with channel equalization.
* [http://itpp.sourceforge.net IT++ Home Page] The [[IT++]] is a powerful C++ library which in particular supports turbo codes
* [http://www.inference.phy.cam.ac.uk/mackay/CodesTurbo.html Turbo codes publications by David MacKay]
* [https://aff3ct.github.io AFF3CT Home Page] (A Fast Forward Error Correction Toolbox) for high speed turbo codes simulations in software
*
* [https://www.intel.com/content/dam/www/programmable/us/en/pdfs/literature/an/an505.pdf 3GPP LTE Turbo Reference Design].
* [https://www.mathworks.com/help/comm/ug/estimate-turbo-code-ber-performance-in-awgn.html Estimate Turbo Code BER Performance in AWGN] {{Webarchive|url=https://web.archive.org/web/20190201172029/https://www.mathworks.com/help/comm/ug/estimate-turbo-code-ber-performance-in-awgn.html |date=1 February 2019 }} (MatLab).
* [https://www.mathworks.com/help/comm/examples/parallel-concatenated-convolutional-coding-turbo-codes.html Parallel Concatenated Convolutional Coding: Turbo Codes (MatLab Simulink)]
{{CCSDS|state=collapsed}}
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[[Category:Error detection and correction]]
[[Category:Capacity-approaching codes]]
[[Category:French inventions]]
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