The work reports on the implementation of electromechanical bias networks to be employed in an automated experimental set-up for the low frequency noise characterization of bipolar transistors. The obtained bias networks allowed to improve theautomatization degree of the experimental set-up, reducingtherefore the time and the efforts for the systematic characterization necessary for the identification of nonlinearlow frequency noise models. The electromechanical bias networks were successfully applied to the systematic characterization at wafer level of microwave GaInP/GaAs heterojunction bipolar transistors.
Low Noise, Low Interference Automated Bias Networks for Low Frequency Noise Characterization Set-Up's / Borgarino, Mattia; M., Rossi; Fantini, Fausto. - STAMPA. - 1:(2005), pp. 473-476. (Intervento presentato al convegno GAAS Symposium tenutosi a Parigi (Francia) nel 3-7 ottobre 2005).
Low Noise, Low Interference Automated Bias Networks for Low Frequency Noise Characterization Set-Up's
BORGARINO, Mattia;FANTINI, Fausto
2005
Abstract
The work reports on the implementation of electromechanical bias networks to be employed in an automated experimental set-up for the low frequency noise characterization of bipolar transistors. The obtained bias networks allowed to improve theautomatization degree of the experimental set-up, reducingtherefore the time and the efforts for the systematic characterization necessary for the identification of nonlinearlow frequency noise models. The electromechanical bias networks were successfully applied to the systematic characterization at wafer level of microwave GaInP/GaAs heterojunction bipolar transistors.Pubblicazioni consigliate
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