Title :
An improved neural based A/D converter
Author :
Cennamo, F. ; Daponte, P. ; Grimaldi, D. ; Loizzo, E.
Author_Institution :
Naples Univ., Italy
Abstract :
This paper deals with an improved neural based analog to digital converter. A new architecture is proposed which includes the benefits of the neural A/D converters and advantages, in terms of speed and resolution, of traditional A/D converters. In order to clarify, this improvement a review of some neural architectures of A/D converters is reported. The new architecture shows speed and accuracy advantages over earlier schemes. The proposed architecture is described and the preliminary simulated tests reported
Keywords :
analogue-digital conversion; neural chips; neural net architecture; analog to digital converter; converter architecture; neural architectures; neural based A/D converter; resolution; simulated tests; speed; Analog computers; Analog-digital conversion; Circuits; Computer architecture; Image converters; Image storage; Linearity; Neural networks; Signal resolution; Very large scale integration;
Conference_Titel :
Circuits and Systems, 1993., Proceedings of the 36th Midwest Symposium on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-1760-2
DOI :
10.1109/MWSCAS.1993.342996
