| Project/Area Number |
15K06117
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Measurement engineering
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| Research Institution | Prefectural University of Hiroshima |
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Principal Investigator |
Xiao Yegui 県立広島大学, 経営情報学部, 教授 (50252325)
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2017: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2016: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2015: ¥2,730,000 (Direct Cost: ¥2,100,000、Indirect Cost: ¥630,000)
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| Keywords | 適応フーリエ解析 / LMSアルゴリズム / 可変ステップサイズLMS / 変分法 / 適応IIRノッチフィルタ / 振動解析 / 狭帯域能動騒音制御 / 統計解析 / 可変ステップサイズLMSアルゴリズム / 性能解析 / 適応ノッチフィルタ / 回転機械 / 適応周波数分析 / 可変ステップサイズ / ＬＭＳアルゴリズム / 関数の最適化 / 自乗誤差 |
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| Outline of Final Research Achievements |
Adaptive Fourier analyzer has been considered to be a useful and practical tool which can overcome the two well-known major difficulties (frequency resolution and tracking capability) with the traditional FFT. The LMS algorithm is much preferred in real-life applications, but the tradeoff between its convergence and steady-state performance has been a big issue. In recent years, the variable step-size LMS (VSS-LMS) algorithm has attracted a lot of attention. In this project, after carefully investigating the existing VSS-LMS algorithms, we introduced a general VSS update equation and used calculus of variations to optimize it. As a result, several VSS-LMS algorithms have been proposed and confirmed to present promising performance and might be applied to real vibration analysis, active noise control, etc. with a very moderate increase in computational cost as compared to the conventional VSS-LMS algorithm.
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