Asymptotic single-trial strategies for GMD decoding with arbitrary error-erasure tradeoff

Asymptotic single-trial strategies for GMD decoding with arbitrary error-erasure tradeoff Generalized minimum distance (GMD) decoders allow for combining some virtues of probabilistic and algebraic decoding approaches at a low complexity. We investigate single-trial strategies for GMD decoding with arbitrary error-erasure tradeoff, based on either erasing a fraction of the received symbols or erasing all symbols whose reliability values are below a certain threshold. The fraction/threshold may be either static or adaptive, where adaptive means that the erasing is a function of the channel output. Adaptive erasing based on a threshold is a new technique that has not been investigated before. An asymptotic approach is used to evaluate the error-correction radius for each strategy. Both known and new results appear as special cases of this general framework. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Problems of Information Transmission Springer Journals

Asymptotic single-trial strategies for GMD decoding with arbitrary error-erasure tradeoff

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Publisher
SP MAIK Nauka/Interperiodica
Copyright
Copyright © 2012 by Pleiades Publishing, Ltd.
Subject
Engineering; Communications Engineering, Networks; Electrical Engineering; Information Storage and Retrieval; Systems Theory, Control
ISSN
0032-9460
eISSN
1608-3253
D.O.I.
10.1134/S0032946012040023
Publisher site
See Article on Publisher Site

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