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Patching C2n Time Series Data Holes using Principal Component Analysis

机译：使用主成分分析修补C2n时间序列数据孔

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摘要

Measurements of C2n time series using unattended commercial 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.

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Chang, M. P. ; Nazari, H. ; Font, C. O. ; Gilbreath, G. C. ; Oh, E.;
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年度 2007
页码 1-9
总页数 9
原文格式 PDF
正文语种 eng
中图分类工业技术;
关键词
Time series analysis; Factor analysis; Measurement; Turbulence; Scintillation; Decomposition; Optical properties;

机译：时间序列分析;因子分析;测量;湍流;闪烁;分解;光学性质;

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2. Generalized additive models with principal component analysis: an application to time series of respiratory disease and air pollution data [J] . Juliana B. de Souza, Valderio A. Reisen, Glaura C. Franco, Journal of the royal statistical society . 2018,第pta2期

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3. Asynchronism-based principal component analysis for time series data mining [J] . Hailin Li Expert Systems with Application . 2014,第6期

机译：基于异步的时间序列数据挖掘主成分分析
4. Patching C_n~2 Time Series Data Holes using Principal Component Analysis [C] . Mark P. J. L. Chang, Haedeh Nazari, Carlos O. Font, Atmospheric Propagation IV; Proceedings of SPIE-The International Society for Optical Engineering; vol.6551 . 2007

机译：使用主成分分析修补C_n〜2个时间序列数据孔
5. Multivariate time series analysis based on principal component analysis. [D] . Yang, Kiyoung. 2007

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6. Extracting Common Mode Errors of Regional GNSS Position Time Series in the Presence of Missing Data by Variational Bayesian Principal Component Analysis [O] . Wudong Li, Weiping Jiang, Zhao Li, 2020

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7. Functional Principal Component Analysis: A Robust Method for Time-Series Phenotypic Data [O] . Yunqing Yu 2020

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Patching C2n Time Series Data Holes using Principal Component Analysis

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