Paper
12 January 1993 Noise reduction for chaotic data by geometric projection
Robert G. Cawley, Guan-Hsong Hsu
Author Affiliations +
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.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Robert G. Cawley and Guan-Hsong Hsu "Noise reduction for chaotic data by geometric projection", Proc. SPIE 1771, Applications of Digital Image Processing XV, (12 January 1993); https://doi.org/10.1117/12.139082
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Cited by 1 scholarly publication.
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KEYWORDS
Signal to noise ratio

Denoising

Digital image processing

Neodymium

Mathematics

Complex systems

Interference (communication)

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