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A Generalized Approach for the Use of Convolutional Coding in SEU Mitigation

机译:SEU缓解卷积编码使用的广义方法

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In this paper we propose a mitigation technique for the protection of critical data in electronic devices firm Single Error Upsets (SEU) that manifest themselves as bit-flip in memory. In order to cope with this problem, we take advantage of involutional codes. We propose a methodology to generate a light decoder architecture considering all the possible combinations of generator polynomials of order three. The automatic generation of VHDL code is also addressed by exploiting a framework for coxes generation. The comparison with other protection schemes shows that the approach is advantageous in term s of perform and error coverage.
机译:在本文中,我们提出了一种缓解技术,用于保护电子设备公司的临界数据单个误差upsets(SEU),该误差upsets(SEU)表示为内存中的位翻转。为了应对这个问题,我们利用了非法代码。我们提出了一种方法来产生光解码器架构,考虑订单三的发电机多项式的所有可能组合。还通过利用Coxes生成框架来解决VHDL代码的自动生成。与其他保护方案的比较表明,该方法在执行和错误覆盖的术语S中是有利的。

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