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Proceedings Paper

Patching C2n time series data holes using principal component analysis
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Paper Abstract

Measurements of Cn2 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-Loève 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.

Paper Details

Date Published: 4 May 2007
PDF: 8 pages
Proc. SPIE 6551, Atmospheric Propagation IV, 65510L (4 May 2007); doi: 10.1117/12.724706
Show Author Affiliations
Mark P. J. L. Chang, Univ. of Puerto Rico (United States)
Haedeh Nazari, Consultant (United States)
Carlos O. Font, Naval Research Lab. (United States)
G. Charmaine Gilbreath, Naval Research Lab. (United States)
Eun Oh, Naval Research Lab. (United States)


Published in SPIE Proceedings Vol. 6551:
Atmospheric Propagation IV
Cynthia Y. Young; G. Charmaine Gilbreath, Editor(s)

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