Neural net based nonstandard A/D conversion
- 12 May 1988
- journal article
- Published by Institution of Engineering and Technology (IET) in Electronics Letters
- Vol. 24 (10) , 619-620
- https://doi.org/10.1049/el:19880419
Abstract
A technique for nonstandard A/D conversion of signals subject to a fidelity criterion is described, based on Hopfield neural networks. Switched-capacitor neural networks offer a natural means for efficient implementation of the proposed technique. Applications include all forms of PCM coding, oversampled A/D conversion and digital image halftoning.Keywords
This publication has 0 references indexed in Scilit: