The analysis of parallel BIST by the combined Markov chain (CMC) model

C. Chuang, Anup K. Gupta
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引用次数: 14

Abstract

It is shown that the simple Markov chain model used to define the parallel BIST (built-in self-test) technique (see K. Kim et al., IEEE Trans. CAD Integrated Circuits Syst., p.919-28, Aug. 1988) does not work well for state machines. Instead, a combined Markov chain (CMC) model is proposed to analyze the behavior of state machines. It is shown that the feedback loop from the state registers, as well as the state assignments, can adversely affect the characteristics of the patterns generated by the state registers configured as signature analyzers. On the basis of this analysis, there has been developed a new state assignment algorithm that removes the adverse effects of feedback and ensures high controllability. This allows the use of the parallel BIST technique for state machines.<>
用联合马尔可夫链(CMC)模型分析并行BIST
研究表明,用于定义并行BIST(内置自检)技术的简单马尔可夫链模型(见K. Kim等人,IEEE Trans)。集成电路系统。(第919-28页,1988年8月)并不适用于状态机。提出了一种组合马尔可夫链(CMC)模型来分析状态机的行为。结果表明,来自状态寄存器的反馈回路以及状态分配会对配置为签名分析器的状态寄存器生成的模式的特征产生不利影响。在此基础上,提出了一种新的状态分配算法,消除了反馈的不利影响,保证了系统的高可控性。这允许对状态机使用并行BIST技术。
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