DocumentCode
1628157
Title
A decentralized neural architecture based A/D converter with binary coded outputs
Author
Attari, M. ; Boudjema, F. ; Bouhedda, M. ; Bouallag, S.
Author_Institution
Inst. of Electron., Houari Boumediene Univ., Algiers, Algeria
Volume
1
fYear
1997
Firstpage
232
Abstract
In this paper, a new approach is given to design a 4-bit decentralized flash analog to digital converter (ADC) with binary coded outputs. Four artificial neural networks (ANN) are chosen and trained to identify an ideal 4-bit ADC. In order to test the obtained neural ADC, simulation results are carried out to show the efficiency regarding to parallel encoders and neural ADCs already proposed
Keywords
analogue-digital conversion; circuit analysis computing; data acquisition; digital simulation; neural net architecture; A/D converter; artificial neural networks; binary coded outputs; decentralized neural architecture; efficiency; neural ADC; parallel encoders; simulation; Analog-digital conversion; Artificial neural networks; Control systems; Data acquisition; Feedforward neural networks; Image converters; Instruments; Neural networks; Neurons; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Instrumentation and Measurement Technology Conference, 1997. IMTC/97. Proceedings. Sensing, Processing, Networking., IEEE
Conference_Location
Ottawa, Ont.
ISSN
1091-5281
Print_ISBN
0-7803-3747-6
Type
conf
DOI
10.1109/IMTC.1997.603948
Filename
603948
Link To Document