1 December 1991 Polynomial neural nets for signal and image processing in chaotic backgrounds
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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.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sheldon B. Gardner, Sheldon B. Gardner, } "Polynomial neural nets for signal and image processing in chaotic backgrounds", Proc. SPIE 1567, Applications of Digital Image Processing XIV, (1 December 1991); doi: 10.1117/12.50864; https://doi.org/10.1117/12.50864
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