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An Entropy Measure of Non-Stationary Processes

School of Automation, Huazhong University of Science & Technology, Wuhan 430074, China
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Entropy 2014, 16(3), 1493-1500; https://doi.org/10.3390/e16031493
Received: 23 January 2014 / Revised: 21 February 2014 / Accepted: 12 March 2014 / Published: 17 March 2014
Shannon’s source entropy formula is not appropriate to measure the uncertainty of non-stationary processes. In this paper, we propose a new entropy measure for non-stationary processes, which is greater than or equal to Shannon’s source entropy. The maximum entropy of the non-stationary process has been considered, and it can be used as a design guideline in cryptography. View Full-Text
Keywords: non-stationary process; entropy; maximum entropy; cryptography non-stationary process; entropy; maximum entropy; cryptography
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MDPI and ACS Style

Liu, L.F.; Hu, H.P.; Deng, Y.S.; Ding, N.D. An Entropy Measure of Non-Stationary Processes. Entropy 2014, 16, 1493-1500. https://doi.org/10.3390/e16031493

AMA Style

Liu LF, Hu HP, Deng YS, Ding ND. An Entropy Measure of Non-Stationary Processes. Entropy. 2014; 16(3):1493-1500. https://doi.org/10.3390/e16031493

Chicago/Turabian Style

Liu, Ling Feng, Han Ping Hu, Ya Shuang Deng, and Nai Da Ding. 2014. "An Entropy Measure of Non-Stationary Processes" Entropy 16, no. 3: 1493-1500. https://doi.org/10.3390/e16031493

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