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A post-processing algorithm for reducing strong error effects in NAND flash memory

机译:一种降低NAND闪存强误差效应的后处理算法

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This paper introduces a novel post-processing algorithm for low-density parity-check (LDPC) codes adequate for NAND flash memory, to improve error correction capability of a soft decision decoding by reducing strong error effects in an efficient way. In this algorithm, it can detect variable nodes of strong errors using incoming check-to-variable (c2v) messages and reduce magnitude of channel reliability of the nodes to avoid supplying large erroneous variable-to-check (v2c) messages for the check nodes. The proposed post processing algorithm with a finite precision LDPC decoding scheme is named edge-based post processing and effectively reflects time varying characteristic of NAND flash channel.
机译:本文介绍了一种用于NAND闪存足够的低密度奇偶校验(LDPC)代码的新型处理算法,以通过以有效的方式降低强误差效应来提高软判决解码的纠错能力。在该算法中,它可以使用传入的检查到变量(C2V)消息来检测强误差的可变节点,并减少节点的信道可靠性的大小,以避免为检查节点提供大的错误的可变变量对检查(V2C)消息。具有有限精度LDPC解码方案的所提出的后处理算法被命名为基于边缘的后处理,有效地反映了NAND​​闪光通道的时间变化特性。

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