@inproceedings{e47a17077f81453d97040cf0ff4cc354,
title = "BEAST decoding for block codes",
abstract = "BEAST is a Bidirectional Efficient Algorithm for Searching code Trees. In this paper, it is used for decoding block codes over the additive white Gaussian noise (AWGN) channel. If no constraints are imposed on the decoding complexity (in terms of the number of visited nodes during the search), BEAST performs maximum-likelihood (ML) decoding. At the cost of a negligible performance degradation, BEAST can be constrained to perform almost-ML decoding with significantly reduced complexity. The benchmark for the complexity assessment is the number of nodes visited by the Viterbi algorithm operating on the minimal trellis of the code. The decoding complexity depends on the trellis structure of a given code, which is illustrated by three different forms of the generator matrix for the (24, 12, 8) Golay code. Simulation results are also presented for two other codes",
author = "Irina Bocharova and Rolf Johannesson and Boris Kudryashov and Maja Loncar",
year = "2004",
language = "English",
publisher = "VDI Verlag GMBH",
number = "181",
pages = "173--178",
booktitle = "ITG-Fachbericht",
address = "Germany",
note = "5th International ITG Conference on Source and Channel Coding (SCC´04) ; Conference date: 14-01-2004 Through 16-01-2004",
}