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首页> 外文期刊>IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems >Gauss-elimination-based generation of multiple seed-polynomial pairs for LFSR
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Gauss-elimination-based generation of multiple seed-polynomial pairs for LFSR

机译:基于高斯消除的LFSR多个种​​子多项式对的生成

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摘要

This paper presents a new and efficient strategy of pseudorandom pattern generation (PRPG) for IC testing. It uses a general programmable LFSR (P-LFSR) to offer multiple-seed and multiple-polynomial PRPG. The deterministic pattern set generated by an ATPG tool or supplied by the designers is used to guide the generation of pseudorandom patterns. A novel application of the Gauss-elimination procedure is proposed to find the seeds as well as the polynomials. With an intelligent heuristic to further utilize the essential faults, this approach becomes very efficient, even for the random pattern resistant (RPR) circuits. Experiments are conducted on the ISCAS-85 benchmarks and the full scan version of the ISCAS-89 benchmarks. For all benchmark circuits, complete fault coverage is achieved with good balance on the hardware overhead and the test lengths as compared to other schemes.
机译:本文提出了一种用于IC测试的新型高效伪随机模式生成(PRPG)策略。它使用通用的可编程LFSR(P-LFSR)提供多种子和多项式PRPG。由ATPG工具生成或由设计人员提供的确定性模式集可用于指导伪随机模式的生成。提出了一种高斯消除程序的新应用,可以找到种子以及多项式。通过智能启发式方法进一步利用基本故障,即使对于随机模式抵抗(RPR)电路,此方法也变得非常有效。实验是在ISCAS-85基准和ISCAS-89基准的完整扫描版本上进行的。对于所有基准电路,与其他方案相比,可以在硬件开销和测试长度之间取得良好平衡的情况下实现完整的故障覆盖。

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