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- W2759151545 abstract "A new large signal model construction technique is proposed in this paper. High order current- and charge-sources are used to describe the dispersive behavior of FETs, which are assembled from small signal measurement data. Instead of storing the model data into look-up tables, empirical functions and artificial neural network (ANN) are adopted to implement the model into simulators, which can reduce the volume of the model, eliminate the oscillation caused by interpolation and provide better performance prediction outside the measurement range." @default.
- W2759151545 created "2017-10-06" @default.
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- W2759151545 date "2017-08-01" @default.
- W2759151545 modified "2023-09-22" @default.
- W2759151545 title "A novel non-quasi-static large signal model FET assembled from small signal response" @default.
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