噪声对滑动移除近似熵的影响  

Effect of noises on moving cut data-approximate entropy

作　　者：金红梅[1] 何文平[2] 张文[1] 冯爱霞[1] 侯威[2] 

机构地区：[1]兰州大学大气科学学院,兰州730000 [2]国家气候中心,北京100081

出　　处：《物理学报》2012年第12期613-621,共9页Acta Physica Sinica

基　　金：全球变化重大研究计划(批准号: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);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.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.

关 键 词：滑动移除近似熵 噪声 突变检测 

分 类 号：P413[天文地球—大气科学及气象学]