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Proceedings Paper

Noise reduction for chaotic data by geometric projection
Author(s): Robert G. Cawley; Guan-Hsong Hsu
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Paper Abstract

We present a method for noise reduction that does not depend on detailed prior knowledge of system dynamics. The method has performed reasonably well for known maps and flows. Also, we present an empirically based technique to estimate the initial signal-to-noise ratio for time series whose dynamical origin may be unknown.

Paper Details

Date Published: 12 January 1993
PDF: 9 pages
Proc. SPIE 1771, Applications of Digital Image Processing XV, (12 January 1993); doi: 10.1117/12.139082
Show Author Affiliations
Robert G. Cawley, Naval Surface Warfare Ctr. (United States)
Guan-Hsong Hsu, Univ. of Missouri/Columbia (United States)

Published in SPIE Proceedings Vol. 1771:
Applications of Digital Image Processing XV
Andrew G. Tescher, Editor(s)

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