软容错的水平、垂直和超皇后奇偶校验(HVSQ)方法

S. M. Taslim Uddin Raju, Md Shamimur Rahman
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引用次数: 0

摘要

错误的数据可能导致系统故障。虽然有几种检测和纠正的方法,但随着错误数量的增加,这些错误代码的检测和纠正变得越来越困难。为了解决这些问题,本文提出了一种利用码中的水平-垂直-超级皇后(HVSQ)奇偶校验位来解决多重错误的有效方法。它使用121位数据位和44位奇偶校验位。该方法具有较高的纠错率和较少的代码开销。对于这121位数据,我们只需要44个冗余位,这表明36.36%的位开销,并且可以解决最多3位的错误。它还显示了在数据位中错误数量增加时更好的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Horizontal Vertical and SuperQueen Parity (HVSQ) Method for Soft Error Tolerance
Erroneous data can cause a system to be failed. Though there are several methods for detection and correction, with the increasing amount of errors, it becomes difficult, for both detection, and correction of these erroneous codes. For solving these issues, this paper represents an effective method for solving multiple errors by using Horizontal-Vertical-SuperQueen (HVSQ) parity bits in code. It works with 121 data bits and 44 parity bits. And this method has a higher correction rate with less code overhead and higher code-rate. For these 121 bits of data, we need only 44 redundant bits which, indicate 36.36% of bit overhead and can solve up to 3 bit of errors. It also shows better accuracy in the increased number of errors in data bits.
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