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Proceedings Paper

Applying the Hilbert-Huang decomposition to horizontal light propagation Cn2 data
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Paper Abstract

The Hilbert Huang Transform is a new technique for the analysis of non-stationary signals. It comprises two distinct parts: Empirical Mode Decomposition (EMD) and the Hilbert Transform of each of the modes found from the first step to produce a Hilbert Spectrum. The EMD is an adaptive decomposition of the data, which results in the extraction of Intrinsic Mode Functions (IMFs). We discuss the application of the EMD to the calibration of two optical scintillometers that have been used to measure Cn2 over horizontal paths on a building rooftop, and discuss the advantage of using the Marginal Hilbert Spectrum over the traditional Fourier Power Spectrum.

Paper Details

Date Published: 12 July 2006
PDF: 8 pages
Proc. SPIE 6268, Advances in Stellar Interferometry, 62683E (12 July 2006); doi: 10.1117/12.672280
Show Author Affiliations
Mark P. J. L. Chang, Univ. of Puerto Rico/Mayagüez (United States)
Erick A. Roura, Univ. of Puerto Rico/Mayagüez (United States)
Carlos O. Font, Univ. of Puerto Rico/Mayagüez (United States)
Charmaine Gilbreath, Naval Research Lab. (United States)
Eun Oh, Naval Research Lab. (United States)

Published in SPIE Proceedings Vol. 6268:
Advances in Stellar Interferometry
John D. Monnier; Markus Schöller; William C. Danchi, Editor(s)

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