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Proceedings Paper

Segmentation-independent estimates of turbulence parameters
Author(s): George C. Papanicolaou; Knut Solna; Donald C. Washburn
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Paper Abstract

We present a new approach for analyzing local power law processes and apply it to temperature measurements from the upper atmosphere. We segment the data and use the wavelet scale spectrum to estimate the parameters of the power law, the scale factor and the exponent. These parameters vary from segment to segment. Part of this variation is due to the non-stationary of the data. Another part is due to estimation errors that depend on the segmentation. In this paper show how to remove effectively these segmentation dependent variations.

Paper Details

Date Published: 8 September 1998
PDF: 12 pages
Proc. SPIE 3381, Airborne Laser Advanced Technology, (8 September 1998); doi: 10.1117/12.323947
Show Author Affiliations
George C. Papanicolaou, Stanford Univ. (United States)
Knut Solna, Univ. of Utah (United States)
Donald C. Washburn, Air Force Research Lab. (United States)

Published in SPIE Proceedings Vol. 3381:
Airborne Laser Advanced Technology
Todd D. Steiner; Paul H. Merritt, Editor(s)

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