DocumentCode
2745223
Title
Discrete Fourier transform using neural network
Author
Romero-Tetzicatl, Marco ; Alejos-Palomares, Rubén ; Castellanos-Nolasco, Ramiro ; Gómez-Castañeda, Felipe
Author_Institution
Univ. de las Americas, Puebla, Mexico
Volume
2
fYear
1994
fDate
3-5 Aug 1994
Firstpage
834
Abstract
In this paper we present a basic scheme which computes the Discrete Hartley Transform (DHT) and Discrete Fourier Transform (DFT) based on a low complexity neural net. A generalization of this work in order to develop other types of discrete transforms is feasible if they can be represented in vectorial form and their transformation matrix is invertible to assure stability of the network
Keywords
Hartley transforms; Hopfield neural nets; analogue processing circuits; discrete Fourier transforms; DFT; DHT; discrete Fourier transform; discrete Hartley transform; discrete transforms; low complexity neural net; stability; transformation matrix; vectorial form; Biological system modeling; Circuits; DH-HEMTs; Discrete Fourier transforms; Discrete transforms; Fourier transforms; Hopfield neural networks; Immune system; Linear programming; Neural networks; Neurons; Stability;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1994., Proceedings of the 37th Midwest Symposium on
Conference_Location
Lafayette, LA
Print_ISBN
0-7803-2428-5
Type
conf
DOI
10.1109/MWSCAS.1994.518943
Filename
518943
Link To Document