Hopfield-Tank Neural Net: Walsh to Fourier Transform

Authors

D. A. Karras, Demokritos National Centre for Scientific ResearchFollow
Stavros J. Varoufakis, Demokritos National Centre for Scientific ResearchFollow
George Antoniou, Montclair State UniversityFollow
G. B. Carayannis, National Technical University of Athens

Document Type

Article

Publication Date

1-1-1992

Abstract

A simple method for the computation of the Discrete Fourier Transform (DFT) from the Walsh Transform, using the Neural Network model of Hopfield and Tank, is presented. The proposed method circumvents the algorithmic complexity of the DFT. The computation time for the evaluation of the DFT coefficients depends upon a time constant which characterizes the neural network.

DOI

10.1016/0925-2312(92)90042-N

Montclair State University Digital Commons Citation

Karras, D. A.; Varoufakis, Stavros J.; Antoniou, George; and Carayannis, G. B., "Hopfield-Tank Neural Net: Walsh to Fourier Transform" (1992). Department of Computer Science Faculty Scholarship and Creative Works. 322.
https://digitalcommons.montclair.edu/compusci-facpubs/322