| Presentation | 2004/1/14 Using Frobenius Norm for Selective Orthogonal Least-Squares Method Yuichi TANJI, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Using Frobenius norm for selective orthogonal least-squares method that is a powerful method for macromodeling networks characterized by sampled data obtained from electromagnetic analysis and measurement, is proposed. The eigendecomposition is not required to implement the method, different from the previous work. Therefore, the proposed method has less commitational efforts on modeling comparing the previous one. In a example, it is confirmed that accuracy of the proposed method is comparable to the previous one. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | selective orthogonalization / Frobenius norm / top-down design and bottom-up verification |
| Paper # | NLP2003-146 |
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| Conference Information | |
| Committee | NLP |
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| Conference Date | 2004/1/14(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Vice Chair | |
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| Paper Information | |
| Registration To | Nonlinear Problems (NLP) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Using Frobenius Norm for Selective Orthogonal Least-Squares Method |
| Sub Title (in English) | |
| Keyword(1) | selective orthogonalization |
| Keyword(2) | Frobenius norm |
| Keyword(3) | top-down design and bottom-up verification |
| 1st Author's Name | Yuichi TANJI |
| 1st Author's Affiliation | Dept. of RISE, Kagawa University() |
| Date | 2004/1/14 |
| Paper # | NLP2003-146 |
| Volume (vol) | vol.103 |
| Number (no) | 566 |
| Page | pp.pp.- |
| #Pages | 4 |
| Date of Issue | |