2011 Fiscal Year Final Research Report
Hybrid Signal Processing via Sampled-data Control Theory
| Project/Area Number |
21360203
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Control engineering
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| Research Institution | Kyoto University |
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Principal Investigator |
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| Co-Investigator(Renkei-kenkyūsha) |
NAGAHARA Masaaki 京都大学, 情報学研究科, 助教 (90362582)
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| Project Period (FY) |
2009 – 2011
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| Keywords | 制御理論 / サンプル値制御理論 / 完全帯域制限仮定 / ディジタルフィルタ / 音響処理 / 画像処理 / 適応フィルタ / 分数次遅れフィルタ / ウェーブレット |
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| Research Abstract |
This project has established the design methodology for digital filters that makes analog performance optimal, based on sampled-data control theory. We have also successfully derived adaptation scheme for sampled-data filters. Major achievements include a) high-quality restoration from compressed audio sources, b) super-sonic reproduction from compact disc sources, c) a super-resolution method for image processing that reduces jaggy components, d) optimal construction of splines, e) design method for fractional-delay filters with applications to pitch-shifting. In particular, the algorithm is implemented into sound-processing LSI chips, and their cumulative production has reached 30 million chips. We have also placed an application to wavelets in a subsequent scope for the future.
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