High-level Power Estimation with Improved Entropy for Considering the Temporal Correlated Signals

Wu Yipin, Zhou Feng, Chen Hua, Niu Qi, Li Shun, Chen Chunhong
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引用次数: 1

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. In this paper, we put forward an improved definition of entropy for the application of power estimation to take into account the temporal correlated signals. The theoretical proofs and the benchmark experimental results verified the efficiency of our algorithm on both the accuracy and the time complexity.
考虑时间相关信号的改进熵高阶功率估计
传统的熵是一种高级功率估计的有效方法,但当输入信号是时间相关的时候,它就不起作用了,就像视频和音频流的情况一样。本文提出了一种改进的熵的定义,以便在功率估计中考虑到时间相关信号。理论证明和基准实验结果验证了该算法在精度和时间复杂度方面的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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