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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Li, Shu Qi Wang, Ying Yu, Ming |
| Copyright Year | 2015 |
| Description | Author affiliation: Department of Electrical, Computer and Software Engineering, University of Ontario Institute of Technology, 2000 Simcoe Street North, Oshawa, Ontario, Canada L1H 7K4 (Li, Shu Qi; Wang, Ying) || COM DEV Ltd., 155 Sheldon Drive, Cambridge, Ontario, Canada N1R 7H6 (Yu, Ming) |
| Abstract | In this paper, an overview of our recent development in the effective modeling of microwave filters is presented, highlighting the application of neural network (NN) modeling technique in the design and optimization of multiplexers. For this application, NN models are based on much simplified EM data of only critical filter structures. The cost of model development is therefore significantly reduced. Furthermore, combination of EM, NN and circuit models enables effective design and optimization of complex circuits. The efficiency of the modeling techniques has been demonstrated through a number of medium to large size multiplexers with dual-mode circular waveguide channel filters. |
| Starting Page | 1 |
| Ending Page | 3 |
| File Size | 295246 |
| Page Count | 3 |
| File Format | |
| e-ISBN | 9781479968114 |
| DOI | 10.1109/NEMO.2015.7415083 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-08-11 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Multiplexing Artificial neural networks Dual-mode waveguide filter Microwave communication Data models Neural network Integrated circuit modeling Microwave filters Multiplexer design |
| Content Type | Text |
| Resource Type | Article |
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