New Neural Procedure for Extraction of Parameters of Microwave FET Noise Models
A neural netwok based procedure for extraction of parameters of microwave FET noise models is proposed in this paper. The procedure is illustrated on the Pospieszalski’s noise model. A neural network is trained to predict the equivalent drain noise temperature for given values of the intrinsic circ...
Main Authors: | N. Ivković, Z. Marinković, O. Pronić-Rančić, V. Marković |
---|---|
Format: | Article |
Language: | English |
Published: |
Telecommunications Society, Academic Mind
2013-11-01
|
Series: | Telfor Journal |
Subjects: | |
Online Access: |
http://journal.telfor.rs/Published/Vol5No2/Vol5No2_A14.pdf
|
Similar Items
-
An analytical approach to the HEMT noise wave model parameter determination
by: Đorđević Vladica, et al.
Published: (2017-01-01) -
ANNs in Bias Dependant Small-Signal and Noise Modeling of Microwave FETs
by: V. Marković, et al.
Published: (2010-06-01) -
Artificial intelligence for conflict management
by: Habtemariam, Eyasu A.
Published: (2006) -
An Automated MR Image Segmentation System Using Multi-layer Perceptron Neural Network
by: Amiri S, et al.
Published: (2013-12-01) -
Microwave GaAs FET circuit design
by: El-Rabaie, E.-S. M.
Published: (1986)