Segmentation-independent estimates of turbulence parameters

George C. Papanicolaou; Knut Solna; Donald C. Washburn

doi:10.1117/12.323947

8 September 1998 Segmentation-independent estimates of turbulence parameters

George C. Papanicolaou, Knut Solna, Donald C. Washburn

Proceedings Volume 3381, Airborne Laser Advanced Technology; (1998) https://doi.org/10.1117/12.323947
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

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.

Citation Download Citation

George C. Papanicolaou, Knut Solna, and Donald C. Washburn "Segmentation-independent estimates of turbulence parameters", Proc. SPIE 3381, Airborne Laser Advanced Technology, (8 September 1998); https://doi.org/10.1117/12.323947

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