基于非线性CA的PRPG测试成本优化设计

14th Asian Test Symposium (ATS'05) Pub Date : 2005-12-18 DOI:10.1109/ATS.2005.40

Sukanta Das, H. Rahaman, B. Sikdar

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引用次数: 8

摘要

本文提出了一种基于非线性元胞自动机的PRPG成本优化设计方案。3邻域CA规则的表征为线性时间内设计n位PRPG提供了基础。提出的遗传算法框架对CA进行演化，在面积开销和延迟方面得到了代价最小的PRPG结构

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Cost Optimal Design of Nonlinear CA based PRPG for Test Applications

This paper reports a scheme for cost optimal design of PRPG, built around nonlinear cellular automata (CM). The characterization of 3-neighborhood CA rules provides the foundation of designing the n-bit PRPG in linear time. The GA (genetic algorithm) framework proposed to evolve the CA results in a minimal cost PRPG structure, in terms of area overhead and delay

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14th Asian Test Symposium (ATS'05)

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