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Proceedings Paper

Algorithm based on joint time-frequency analysis to eliminate noise from stratospheric laser data
Author(s): Henry Boyo; Motowo Fujiwara; Vasily G. Moshnyaga; Adenike Boyo
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Paper Abstract

The difficulties in extracting useful information from the noise-corrupted stratospheric laser echoes have elevated application of digital signal processing techniques to the atmospheric research. This paper focuses on the problem of noise elimination from the transient returns of stratospheric laser echoes, proposes a new solution approach to it. Unlike related methods which address signal modeling in time domain only, we formulate the problem in both time and frequency domain, present a new modeling environment for the joint time-frequency analysis and use a non-linear median filter for noise elimination. Experiments with various patterns of spectral clouds demonstrate that such an approach significantly increases readability and accuracy of results in terms of the back-scattering function and depolarization.

Paper Details

Date Published: 9 April 2003
PDF: 9 pages
Proc. SPIE 4891, Optical Remote Sensing of the Atmosphere and Clouds III, (9 April 2003); doi: 10.1117/12.467546
Show Author Affiliations
Henry Boyo, Univ. of Lagos (United States)
Motowo Fujiwara, Fukuoka Univ. (United States)
AGU (United States)
SGEPSS (United States)
Vasily G. Moshnyaga, Fukuoka Univ. (Moldova)
Adenike Boyo, Lagos State Univ. (Nigeria)

Published in SPIE Proceedings Vol. 4891:
Optical Remote Sensing of the Atmosphere and Clouds III
Hung-Lung Huang; Daren Lu; Yasuhiro Sasano, Editor(s)

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