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  • 标题:Small Signal and Large Signal Modeling of HBT’s Using Neural Networks
  • 本地全文:下载
  • 作者:K. Munshi ; P. Vempada ; S. Prasad
  • 期刊名称:Microwave Review
  • 印刷版ISSN:1450-5835
  • 出版年度:2003
  • 卷号:9
  • 期号:2
  • 出版社:Society for Microwave Technique, Technologies and Systems, Serbia and Montenegro IEEE MTT-S Chapter
  • 摘要:This paper presents the small signal and large signal models for an AlGaAs and a SiGe Heterojunction Bipolar Transistor, using neural network techniques. The main advantage of this technique is the wide range of frequencies over which the small signal model is valid and the great accuracy of the large signal characteristics. Both the models have been verif ied by comparing the simulated values with the measured ones of the HBTs for both the material systems.
  • 关键词:HBT; Neural Networks; Modeling
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