Abstract
A generator matrix (GM)-based approach for adaptively deriving cut-inducing redundant parity checks (RPCs) during the adaptive linear programming decoding algorithm is presented. More precisely speaking, if the decoder gets stuck in a non-integral pseudocodeword, then the resulting RPCs are likely to provide violated forbidden-set inequalities that can separate this non-integral optimal solution from the feasible region. The described approach can be viewed as a GM-based counterpart of the approach proposed by Zhang and Siegel in 2012. For binary linear codes of low rate, while providing the same error-correcting performance, our approach requires much less computational time compared to its analogue.
Original language | English |
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Pages (from-to) | 640-643 |
Number of pages | 4 |
Journal | IEEE Communications Letters |
Volume | 20 |
Issue number | 4 |
Early online date | 16 Feb 2016 |
DOIs | |
Publication status | Published - Apr 2016 |
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Seyed Mousavi
- Research Centre for Computational Science and Mathematical Modelling - Associate
- School of Computing, Electronics and Maths - Lecturer in Computer Science
Person: Teaching and Research