Title :
A neural net approach to discrete Hartley and Fourier transforms
Author :
Culhane, Andrew D. ; Peckerar, Martin C. ; Marrian, C.R.K.
Author_Institution :
US Dept. of Defense, Fort Meade, MD, USA
fDate :
5/1/1989 12:00:00 AM
Abstract :
The authors present an electronic circuit, based on a neural (i.e. multiply connected) net to compute the discrete Fourier transform (DFT). They show both analytically and by simulation that the circuit is guaranteed to settle into the correct values within RC time constants (on the order of hundreds of nanoseconds), and they compare its performance to other on-chip DFT implementations
Keywords :
analogue computer circuits; fast Fourier transforms; neural nets; DFT; DHT; discrete Fourier transform; discrete Hartley transforms; electronic circuit; fast settling; multiply connected network; neural net; on-chip DFT implementations; performance; simulation; time constants; Artificial neural networks; Deconvolution; Discrete Fourier transforms; Discrete transforms; Fourier transforms; Hopfield neural networks; Laboratories; Linear programming; Neural networks; Signal processing algorithms;
Journal_Title :
Circuits and Systems, IEEE Transactions on
