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In this paper we consider the problem of identifying trapping sets in Low Density Parity Check codes (LDPC), which is a hard NP-complete problem, as conjectured in [1]. We introduce a method for identifying trapping sets in LDPC codes. The proposed method is flexible and parametric. Furthermore it achieves low complexity and execution time and low memory requirements.
This paper proposes memory efficient FPGA implementations for layered quasi-cyclic (QC) LDPC decoders, based on the Self-Correcting Min-Sum (SCMS) algorithm. We address the problem of high memory overhead required by layered SCMS based decoders compared to conventional Min-Sum (MS), by proposing two improvements. These require changes in the flow/rule of the conventional SCMS algorithm, in order to...
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