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Proceedings Paper

Polynomial neural nets for signal and image processing in chaotic backgrounds
Author(s): Sheldon B. Gardner
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Paper Abstract

We study non-linear signal processing for detection of threshold signals in chaotic backgrounds. The method is based upon synthesis of a polynomial neural network (PNN) for prediction of chaotic dynamics. Using a solution of the Mackey-Glass equation as a chaotic background, we synthesize a non-linear PNN processor which produces a threshold signal to background improvement of over 20 db.

Paper Details

Date Published: 1 December 1991
PDF: 13 pages
Proc. SPIE 1567, Applications of Digital Image Processing XIV, (1 December 1991); doi: 10.1117/12.50864
Show Author Affiliations
Sheldon B. Gardner, Naval Research Lab. (United States)


Published in SPIE Proceedings Vol. 1567:
Applications of Digital Image Processing XIV
Andrew G. Tescher, Editor(s)

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