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Abstract: In this paper a truncated turbo decoding with reduced computational complexity is proposed. In the course of iterative decoding, bits are detected that will be changed very unlikely in the current iteration step. These bits are excluded from decoding (in the current iteration step) which yields a turbo decoding with much lower complexity while the loss of bit error rate (BER) is quiet small. (Update)
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0.1: Truncated Turbo Decoding with Reduced Computational Complexity - Haase, Rohling (Correct)
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BibTeX entry: (Update)
@misc{ technical-low,
author = "Peter Haase Technical",
title = "Low Complexity Turbo Decoding",
url = "citeseer.comp.nus.edu.sg/697837.html" }
Citations (may not include all citations):559 Near Shannon limit error-correcting coding and decoding: Tur.. (context) - Berrou, Glavieux et al. - 1993
189 Iterative decoding of binary block and convolutional codes (context) - Hagenauer, Offer et al. - 1996
16 Iterative (turbo) decoding of systematic convolutional codes.. (context) - Hagenauer - 1994
11 Two simple stopping criteria for turbo decoding (context) - Shao, Lin et al. - 1999
1 Truncated turbo decoding with reduced computational complexi.. - Haase, Rohling
Documents on the same site (http://www.phaase.net/veroeffentlichungen.html):
Truncated Turbo Decoding with Reduced Computational Complexity - Haase, Rohling (Correct)
Iterative Detection of Differentially Modulated APSK Signals.. - Haase, Rohling (Correct)
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