| Presentation | 2004/3/11 Kernel Wiener Filter Yoshikazu WASHIZAWA, Yukihiko YAMASHITA, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Wiener filter is used widely for inverse problems. From a observed signal, it provides the best restored signal with respect to the square error averaged over the original signal and the noise among linear operators. In this paper, we provide the kernel Wiener filter which is a kernel based extension of the Wiener filter. When the kernel method is applied to the Wiener filter directly, the dimension of the space where the calculation has to be done is very large since samples of the noise have to be used. Then, by using the first order approximation of a kernel function, we provide a realistic solution. We also provide an approximated subspace information criteria (aSIC) that is an extension of SIC. Moreover, we provide an experimental result in order to show their advantages. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Wiener filter / kernel based method / inverse problem / image restoration |
| Paper # | NC2003-177 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 2004/3/11(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Paper Information | |
| Registration To | Neurocomputing (NC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Kernel Wiener Filter |
| Sub Title (in English) | |
| Keyword(1) | Wiener filter |
| Keyword(2) | kernel based method |
| Keyword(3) | inverse problem |
| Keyword(4) | image restoration |
| 1st Author's Name | Yoshikazu WASHIZAWA |
| 1st Author's Affiliation | Graduate School of Science and Engineering, Tokyo Institute of Technology() |
| 2nd Author's Name | Yukihiko YAMASHITA |
| 2nd Author's Affiliation | Graduate School of Science and Engineering, Tokyo Institute of Technology |
| Date | 2004/3/11 |
| Paper # | NC2003-177 |
| Volume (vol) | vol.103 |
| Number (no) | 733 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |