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噪声对滑动移除近似熵的影响
引用本文:金红梅,何文平,张文,冯爱霞,侯威.噪声对滑动移除近似熵的影响[J].物理学报,2012,61(12):129202-129202.
作者姓名:金红梅  何文平  张文  冯爱霞  侯威
作者单位:1. 兰州大学大气科学学院,兰州,730000
2. 国家气候中心,北京,100081
基金项目:本工作受全球变化重大研究计划 (2012CB955203)、国家自然科学基金(批准号: 40930952, 41175067和40905034), 公益性行业(气象)科研专项(批准号: GYHY201106016和GYHY201106015)和国家科技支撑计划(批准号: 2007BAC29B01和2009BAC51B04)资助的课题.
摘    要:受外强迫和仪器本身的测量误差等因素的影响, 观测数据中经常包含噪声和扰动等一些虚假的信息. 针对这一问题, 本文研究了各种不同噪声对滑动移除近似熵的影响. 研究结果表明, 滑动移除近似熵的检测结果受尖峰噪声和高斯白噪声的影响较小, 意味着其具有很强的抗噪能力, 这为该方法在实际观测资料中的广泛应用提供了坚实的实验基础.

关 键 词:滑动移除近似熵  噪声  突变检测
收稿时间:2011-09-09

Effect of noises on moving cut data-approximate entropy
Jin Hong-Mei,He Wen-Ping,Zhang Wen,Feng Ai-Xia,Hou Wei.Effect of noises on moving cut data-approximate entropy[J].Acta Physica Sinica,2012,61(12):129202-129202.
Authors:Jin Hong-Mei  He Wen-Ping  Zhang Wen  Feng Ai-Xia  Hou Wei
Institution:1. Department of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China;2. National Climate Center, China Meteorological Administration, Beijing 100081, China
Abstract:Affected by some factors such as external forcing and the measurement errors of instrument itself, observational data often contain noises, disturbances and some other false information. To solve this problem, the effects of different noises on moving cut data-approximate entropy (MC-ApEn) are investigated in this paper. The results indicate that MC-ApEn is little affected by random spikes and Gaussian white noise, which means that the MC-ApEn method has strong anti-noise ability. The results provide an essential experimental basis for the wide applications of the present method to observational data.
Keywords:moving cut data-approximate entropy  noises  abrupt change detection
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