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Publication
TURBOCODING 2006
Conference paper
A probabilistic subspace approach to the minimal stopping set problem
Abstract
Determining the minimum size of stopping sets of a linear code is an important and yet difficult combinatorial problem for which the exhaustive search requires exponentially growing complexity. We propose a probabilistic subspace approach that can be applied to discover stopping sets of small size in a linear code, particularly for low-density parity-check (LDPC) codes.