Polynomial neural nets for signal and image processing in chaotic backgrounds

Sheldon B. Gardner

doi:10.1117/12.50864

1 December 1991 Polynomial neural nets for signal and image processing in chaotic backgrounds

Sheldon B. Gardner

Proceedings Volume 1567, Applications of Digital Image Processing XIV; (1991) https://doi.org/10.1117/12.50864
Event: San Diego, '91, 1991, San Diego, CA, United States

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.

Citation Download Citation

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); https://doi.org/10.1117/12.50864

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