Patching Cn2 time series data holes using principal component analysis

被引：0

作者：

Chang, Mark P. J. L. ^{[1
]}

Nazari, Haedeh

Font, Carlos O.

Gilbreath, G. Charmaine

Oh, Eun ^{[2
]}

机构：

[1] Univ Puerto Rico, Dept Phys, Mayaguez, PR 00680 USA

[2] US Naval Res Lab, Washington, DC 20375 USA

来源：

ATMOSPHERIC PROPAGATION IV | 2007年 / 6551卷

关键词：

Karhunen-Loeve decomposition; principal component analysis; intrinsic mode functions; empirical mode decomposition; data holes; optical turbulence;

D O I：

10.1117/12.724706

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

THeasurements of C-n(2) time series using unattended commericial scintillometers over long time intervals inevitably lead to data drop-outs or degraded signals. We present a method using Principal Component Analysis (also known as Karhunen-Loeve decomposition) that seeks to correct for these event-induced and mechanically-induced signal degradations. We report on the quality of the correction by examining the Intrinsic Mode Functions generated by Empirical Mode Decomposition.

引用

页数：8

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