2013 Fiscal Year Final Research Report
Robust risk estimators and their minimization for signal processing
| Project/Area Number |
24800022
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| Research Category |
Grant-in-Aid for Research Activity Start-up
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| Allocation Type | Single-year Grants |
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| Research Field |
Sensitivity informatics/Soft computing
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| Research Institution | Tokyo Institute of Technology |
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Principal Investigator |
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| Project Period (FY) |
2012-08-31 – 2014-03-31
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| Keywords | 信号処理 / リスク推定量 / 画像処理 / 適応フィルタ / 最適化工学 |
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| Research Abstract |
Many signal processing problems can be reduced to estimation problems in linear models: estimating an unknown vector with an observation that is the multiplication of a known model matrix and the unknown vector in the presence of additive noise. In this context, many algorithms attempt to minimize the Mean Squared Error (MSE). However, since evaluation of the MSE requires the exact knowledge of the unknown vector, estimation techniques for the MSE are essential in many practical situations. In this study, we propose robust estimators for the MSE and utilize their efficient minimization techniques in the context of image restoration and parameter tuning of adaptive filtering algorithms.
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[Presentation] 凸然わかる凸最適化2013
Author(s)
Masao Yamagishi, and Shunsuke Ono
Organizer
第28回信号処理シンポジウム,若手研究者のための信号処理ワークショップ
Place of Presentation
海峡メッセ下関 : 山口県 (チュートリアル講演)
Year and Date
2013-11-19
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