probability oriented framework for separation and recognition of electroencephalogram
| Project/Area Number |
26820152
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Measurement engineering
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| Research Institution | University of Tsukuba |
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Principal Investigator |
Miyabe Shigeki 筑波大学, システム情報系, 助教 (50598745)
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| Project Period (FY) |
2014-04-01 – 2016-03-31
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| Project Status |
Completed (Fiscal Year 2015)
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| Budget Amount *help |
¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2015: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2014: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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| Keywords | 多チャネル信号処理 / 最尤推定 / 相関係数 / ウィシャート分布 / 仲上m分布 / 連続多変量分布 / 相互相関 / 多変量分布 / 正規分布 / スチューデントt分布 |
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| Outline of Final Research Achievements |
We originally planned to study statistical multichannel signal processing for electroencephalogram, but we changed the research plan and focused on the fundamental analysis method, and studied estimation problem with complex multivariate probabilistic distribution. We proposed a statistical approach to estimate correlation coefficient between two complex signal channels under the condition where the phases are unobservable. As a byproduct of this research, we found a maximum likelihood parameter estimation algorithm for bivariate Nakagami-m distribution and Kibble's bivariate gamma distribution. We also proposed maximum likelihood estimation algorithm for Wishart distribution, which is a conjugate prior of multivariate distributions.
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Report
(3 results)
Research Products
(7 results)
