Research about source separation and source localization bynonlinear array signal processing based on quadratic kernel
Project/Area Number |
23760325
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Research Category |
Grant-in-Aid for Young Scientists (B)
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Allocation Type | Multi-year Fund |
Research Field |
Communication/Network engineering
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Research Institution | University of Tsukuba |
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) |
2011 – 2012
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Project Status |
Completed (Fiscal Year 2012)
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Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2012: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2011: ¥2,470,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥570,000)
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Keywords | パターン認識 / 方位推定 / アレー信号処理 / 音声信号処理 / カーネルトリック / クロスモーメント / MUSIC / 高次統計量 / 写像 / 音源方位推定 / カーネル法 |
Research Abstract |
We studied source separation and source localization by nonlinear microphone array signal processing using higher dimensional map with kernels, and successfully developed high-resolution source localization using quadratic or higher-degree mapping. We showed that the covariance analysis of the mapping corresponds to the moment analysis with the order twice of the degree of the map, and the statistical property of the analysis in the source localization is clarified. It is ascertained that the proposed source localization has higher resolution and is more computationally efficient than the conventional methods.
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Report
(3 results)
Research Products
(31 results)
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[Presentation] 多変量確率モデルによる脳波の信号分離2013
Author(s)
栗花悠輔, 宮部滋樹, Tomasz Rutkowski, 松本佳泰, 山田武志, 牧野昭二
Organizer
電子情報通信学会 技術研究報告MBE2012-119
Place of Presentation
玉川大学(東京都)
Year and Date
2013-03-15
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