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Neural network for noise modeling of SiGe HBT's

DOI: 10.2298/jac0601025s

Keywords: artificial neural networks , PKI networks , noise parameters , SiGe HBT

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Abstract:

The advantages of SiGe HBTs make them very promising for modern RF communication systems and therefore their noise performance becomes an important issue as well. This paper presents the noise modeling of SiGe HBTs for broad operating ranges. Two neural network structures are presented and discussed from the aspect of modeling accuracy: a basic one and an extended one obtained by adding the S-parameters to the input.

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