Title :
An application of Hopfield network to discrete Fourier transform
Author :
Yoshida, Yutaka ; Benjapolakul, Watit ; Iwata, A.
Author_Institution :
Mitec Inc., Tokyo
Abstract :
Summary form only given. An application of a Hopfield network to the discrete Fourier transform was studied. First, the commonalities and differences were defined by a study and comparison of the discrete Fourier transform and Hopfield network structures, and then, in order to investigate the difference, a numerical analysis was conducted. As a result, it became clear that since the coefficient matrix of the Fourier transform and the connection weight matrix of the Hopfield network each have a symmetry, the Fourier transform can be conducted by the Hopfield network. Moreover, its convergence was confirmed by simulation
Keywords :
Fourier transforms; convergence; mathematics computing; neural nets; numerical analysis; Hopfield network; coefficient matrix; connection weight matrix; convergence; discrete Fourier transform; numerical analysis; simulation; symmetry; Application software; Computational modeling; Computer networks; Computer simulation; Convergence; Discrete Fourier transforms; Fourier transforms; Numerical analysis;
Conference_Titel :
Neural Networks, 1991., IJCNN-91-Seattle International Joint Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-0164-1
DOI :
10.1109/IJCNN.1991.155462