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
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;
Conference_Titel :
Circuits and Systems, 1994., Proceedings of the 37th Midwest Symposium on
Conference_Location :
Lafayette, LA
Print_ISBN :
0-7803-2428-5
DOI :
10.1109/MWSCAS.1994.518943
