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An artificial neural network (ANN) is utilized to characterize a current-mode capacitorless bandpass biquad based on a simple single-stage CMOS OTA. The training data is automatically collected from HSPICE simulations based on the AMS's 0.35 mu CMOS process. The trained ANN is able to indicate the feasibility of biquad's requirements with low probability of type-I and type-II error. The ANN-generated...
A genetical tuning scheme, implemented in MATLAB with the cooperation of HSPICE, is utilized to tune a capacitorless current-mode bandpass biquad employing a simple plusmn1.5V single-stage CMOS OTA, which is based on the AMSpsilas 0.35 mu CMOS process. The abilities of biquad, indicating the feasibility of such requirements, are examine through the extreme bias conditions. The very complex estimation...
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