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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Choong, Y.K. Christopoulos, C. Paul, J. Sewell, P. Thomas, D.W.P. |
| Copyright Year | 2003 |
| Description | Author affiliation: Nottingham Univ., UK (Choong, Y.K.; Christopoulos, C.; Paul, J.; Sewell, P.; Thomas, D.W.P.) |
| Abstract | Significant advances have been made in recent years in the development of digital signal processing (DSP) algorithms and their exploitation in computational electromagnetics. In the widest sense, one could include in this category various techniques such as neural networks, genetic algorithms etc. In this paper, we focus however in reviewing the application of signal processing techniques to solve particular EMC problems. Two specific problems are addressed. First, the use of modal expansion techniques (MET) is described as applied to the interfacing of thin wires to large electromagnetic models described by a coarse mesh. MET allows accurate placement and description of thin wires irrespective of the mesh spatial resolution. Second, the use of digital filtering interface (DPI) is discussed as applied to the description in time-domain models of general material properties and other features with frequency-dependent properties. It is shown that advanced signal processing techniques can increase substantially the accuracy and efficiency of numerical solvers. |
| Starting Page | 1273 |
| Ending Page | 1276 |
| File Size | 718240 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780377796 |
| DOI | 10.1109/ICSMC2.2003.1429152 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2003-05-11 |
| Publisher Place | Turkey |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Signal processing algorithms Electromagnetic compatibility Digital signal processing Wires Computational electromagnetics Neural networks Genetic algorithms Electromagnetic modeling Spatial resolution Digital filters |
| Content Type | Text |
| Resource Type | Article |
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