Title :
Testing the performances of neural A/D converter
Author :
Cennamo, F. ; Daponte, P. ; Grimaldi, D. ; Loizzo, E.
Author_Institution :
Dept. of Comput. Sci., Naples Univ., Italy
Abstract :
In this paper, a new A/D converter 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. This neural A/D converter is characterized by a very simple circuit based on a cascade of 1 bit stages including only an analog comparator and an amplifier. The functional description of the new neural A/D converter and some design considerations are discussed. Tests used for conventional A/D converter dynamic characterization are performed and numerical results are also given
Keywords :
Hopfield neural nets; SPICE; analogue-digital conversion; digital simulation; numerical analysis; performance evaluation; analog comparator; data acquisition; dynamic characterization; functional description; neural A/D converter; numerical results; performance testing; Circuit testing; Computer architecture; Computer science; Costs; Data acquisition; Neural networks; Neurons; Performance evaluation; Systems engineering and theory; Voltage;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 1994. IMTC/94. Conference Proceedings. 10th Anniversary. Advanced Technologies in I & M., 1994 IEEE
Conference_Location :
Hamamatsu
Print_ISBN :
0-7803-1880-3
DOI :
10.1109/IMTC.1994.351963