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考虑时间相关性的功耗估计熵算法
引用本文:吴一品,周锋,陈春鸿,严伟,李舜,彭云峰. 考虑时间相关性的功耗估计熵算法[J]. 电子学报, 2007, 35(5): 933-936
作者姓名:吴一品  周锋  陈春鸿  严伟  李舜  彭云峰
作者单位:复旦大学专用集成电路与系统国家重点实验室,上海,201203;Department of Electrical and Computer Engineering,University of Windsor,Ontario,Canada N9B 3P4
摘    要:熵估计是一种在高层次估计功耗的方法,但已经提出的熵算法无法考虑输入信号在时间上的相关性.本文提出了改进熵的概念,在传统熵中加入条件翻转因子,使改进后的熵能够有效估计时间上有相互关联性的信号的翻转率.理论证明和大量BENCHMARK实验结果都表明我们提出的改进熵算法具有合理性和可靠性.

关 键 词:功耗估计    时间相关性
文章编号:0372-2112(2007)05-0933-04
收稿时间:2006-06-29
修稿时间:2006-06-292006-10-13

An Improved Entropy to Estimate Power for Considering Temporal Correlation at High-Level
WU Yi-pin,ZHOU Feng,CHEN Chun-hong,YAN Wei,LI Shun,PENG Yun-feng. An Improved Entropy to Estimate Power for Considering Temporal Correlation at High-Level[J]. Acta Electronica Sinica, 2007, 35(5): 933-936
Authors:WU Yi-pin  ZHOU Feng  CHEN Chun-hong  YAN Wei  LI Shun  PENG Yun-feng
Affiliation:1. State Key Lab of ASIC & System,Fudan University,Shanghai 201203,China;2. Department of Electrical and Computer Engineering,University of Windsor,Ontario,Canada N9B 3P4
Abstract:The traditional entropy is an efficient method for high-level power estimation,but it doesn't work when the input signals are temporal correlated,as is always the case for video and audio streams.This paper aims at this problem.We put forward a new definition of entropy.With the help of the conditional transition probabilities,the proposed algorithm can bring us the estimations with adequate accuracy for temporal correlated inputs.The theoretical proofs and the BENCHMARK experimental results verify the efficiency of our algorithm.
Keywords:temporal correlation   power estimation   entropy
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