Near Shannon limit error-correcting coding and decoding: Turbo-codes. 1

@article{Berrou1993NearSL,
  title={Near Shannon limit error-correcting coding and decoding: Turbo-codes. 1},
  author={Claude Berrou and Alain Glavieux and Punya Thitimajshima},
  journal={Proceedings of ICC '93 - IEEE International Conference on Communications},
  year={1993},
  volume={2},
  pages={1064-1070 vol.2}
}
A new class of convolutional codes called turbo-codes, whose performances in terms of bit error rate (BER) are close to the Shannon limit, is discussed. The turbo-code encoder is built using a parallel concatenation of two recursive systematic convolutional codes, and the associated decoder, using a feedback decoding rule, is implemented as P pipelined identical elementary decoders.<<ETX>> 

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  • K. LakovicJ. Villasenor
  • Computer Science
    Vehicular Technology Conference. IEEE 55th Vehicular Technology Conference. VTC Spring 2002 (Cat. No.02CH37367)
  • 2002
TLDR
An iterative joint source-channel decoder is designed, which exhibits decoding convergence at a low signal-to-noise ratio (SNR) and exhibits superior performance at all SNR levels, relative to a standard system that involves turbo codes and Huffman codes.

On list sequence turbo decoding

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An algorithm for decoding Turbo codes that combines conventional Turbo decoding and list sequence maximum a posteriori probability decoding is presented and evaluated and performance improvements in the order of 0.7 dB are obtained.

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An analytical performance bound for high rate parallel concatenated turbo codes is derived based on random puncturing of non-systematic bits of low rate turbo codes.

Error-Correcting Codes

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...

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