Title :
ADC neural modeling
Author :
Bernieri, Andrea ; Daponte, Pasquale ; Grimaldi, Domenico
Author_Institution :
Dept. of Ind. Eng., Cassino Univ., Italy
fDate :
4/1/1996 12:00:00 AM
Abstract :
The paper deals with a neural network-based approach for A/D converter (ADC) modeling. This approach is initially developed with reference to an ADC mathematical model, allowing the neural modeling to be properly setup. Subsequently, a neural model of a real ADC is identified and validated, highlighting the performance of the proposed approach in terms of ease of model building and result accuracy
Keywords :
analogue-digital conversion; circuit analysis computing; electronic equipment testing; equivalent circuits; identification; neural net architecture; A/D converter; ADC; mathematical model; model budding; neural modeling; neural network; performance; Analog circuits; Analog-digital conversion; Artificial neural networks; Buildings; Circuit analysis; Circuit simulation; Helium; Mathematical model; Neural networks; System testing;
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
