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Any-time probabilistic switching model using bayesian networks
<span title="">2004</span>
<i title="ACM Press">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/qcoemsk4lfgznflartfnzb5rhy" style="color: black;">Proceedings of the 2004 international symposium on Low power electronics and design - ISLPED '04</a>
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Modeling and estimation of switching activities remain to be important problems in low-power design and fault analysis. A probabilistic Bayesian Network based switching model can explicitly model all spatio-temporal dependency relationships in a combinational circuit, resulting in zero-error estimates. However, the space-time requirements of exact estimation schemes, based on this model, increase with circuit complexity [1, 2] . This paper explores a non-simulative, Importance Sampling based,
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... obabilistic estimation strategy that scales well with circuit complexity. It has the any-time aspect of simulation and the input pattern independence of probabilistic models.
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