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

机译:减少NAND闪存中严重错误影响的后处理算法

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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:本文介绍了一种适用于NAND闪存的低密度奇偶校验(LDPC)码后处理算法,旨在通过有效减少强错误影响来提高软判决解码的纠错能力。在这种算法中,它可以使用传入的校验到变量(c2v)消息来检测具有强错误的变量节点,并降低节点的通道可靠性,从而避免为校验节点提供大的错误的校验到变量(v2c)消息。提出的具有有限精度LDPC解码方案的后处理算法称为基于边缘的后处理,可有效反映NAND闪存通道的时变特性。

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