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
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;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 1997. IMTC/97. Proceedings. Sensing, Processing, Networking., IEEE
Conference_Location :
Ottawa, Ont.
Print_ISBN :
0-7803-3747-6
DOI :
10.1109/IMTC.1997.603948
