| Presentation | 1998/2/5 Hierarchical Bayesian Deconvolution : Estimation of GaN Radiation/Relaxation Dynamics T SATOH, E OKADA, A MATSUI, T MATSUMOTO, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | When a strong laser is projected onto a semiconductor material, photoluminescence is observed. This process is important to understand opto-electronic properties of semiconductor material. A class of deconvolution problems with positivity constraints is formulated in terms of a hierarchical Bayes framework. The proposed algorithm is applied to estimation of photoluminescence dynamics structure which is becoming extremely popular for its blue laser emission. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Deconvolution / Positivity / Bayesian Inference |
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| Committee | NC |
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| Conference Date | 1998/2/5(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| 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) | Hierarchical Bayesian Deconvolution : Estimation of GaN Radiation/Relaxation Dynamics |
| Sub Title (in English) | |
| Keyword(1) | Deconvolution |
| Keyword(2) | Positivity |
| Keyword(3) | Bayesian Inference |
| 1st Author's Name | T SATOH |
| 1st Author's Affiliation | Department of Electrical, Electronics and Computer Engineering, Waseds Universuty() |
| 2nd Author's Name | E OKADA |
| 2nd Author's Affiliation | Department of Electrical, Electronics and Computer Engineering, Waseds Universuty |
| 3rd Author's Name | A MATSUI |
| 3rd Author's Affiliation | Department of Electrical, Electronics and Computer Engineering, Waseds Universuty |
| 4th Author's Name | T MATSUMOTO |
| 4th Author's Affiliation | Department of Electrical, Electronics and Computer Engineering, Waseds Universuty |
| Date | 1998/2/5 |
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| Volume (vol) | vol.97 |
| Number (no) | 532 |
| Page | pp.pp.- |
| #Pages | 8 |
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