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Algebraic Optimization of Binary Spatially Coupled Measurement Matrices for Interval Passing
[article]
2018
arXiv
pre-print
We consider binary spatially coupled (SC) low density measurement matrices for low complexity reconstruction of sparse signals via the interval passing algorithm (IPA). The IPA is known to fail due to the presence of harmful sub-structures in the Tanner graph of a binary sparse measurement matrix, so called termatiko sets. In this work we construct array-based (AB) SC sparse measurement matrices via algebraic lifts of graphs, such that the number of termatiko sets in the Tanner graph is
arXiv:1809.05647v1
fatcat:d4akvtlaebf2vi643ejn2nchki