Polynomial neural nets for signal and image processing in chaotic backgrounds

Details Polynomial neural nets for signal and image processing in chaotic backgrounds Polynomial neural nets for signal and image processing in chaotic backgrounds

Dec 1991

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1991spie.1567..451g&link_type=abstract

Proc. SPIE Vol. 1567, p. 451-463, Applications of Digital Image Processing XIV, Andrew G. Tescher; Ed.

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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.

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