Stochastic error rate estimation for adaptive speed control with field delay testing

Stochastic error rate estimation for adaptive speed control with field delay testing
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带现场延迟测试的自适应速度控制的随机误差率估计

DOI:
10.1109/iccad.2013.6691105
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发表时间:
2013
期刊:
2013 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)
影响因子:
--
通讯作者:
T. Onoye
T. Onoye
中科院分区:
--
文献类型:
--
作者:
Shoichi Iizuka;M. Mizuno;D. Kuroda;M. Hashimoto;T. Onoye

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本文提出了一种误码率估计的随机框架,该框架将自适应速度控制建模为一个连续时间的马尔可夫过程,并利用建立的相似度数据库来推导其转换率。该框架被用于基于定时误差预测和扫描测试的自适应速度控制系统。实验结果表明,该框架的MTTF估计速度比普通逻辑模拟快12个数量级。通过与逻辑仿真的比较,阐明了随机时延波动条件下MTTF估计的准确性。所提出的估计值有助于设计和验证具有现场时延测试的自适应速度控制系统。
This paper proposes a stochastic framework for error rate estimation that models adaptive speed control as a continuous-time Markov process and derives its transition rates using developed similarity database. The proposed framework is implemented for adaptive speed control systems based on timing error prediction and scan-test. Experimental results show that the proposed framework enabled 12 orders of magnitude faster MTTF estimation than ordinary logic simulation. The accuracy of MTTF estimation under random delay fluctuation is clarified through a comparison with logic simulation. The proposed estimation can contribute to design and validation of adaptive speed control systems with field delay testing.
DOI: 10.1109/jssc.2010.2089657
发表时间: 2011-01-01
影响因子: 5.4
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期刊:
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