| Project/Area Number |
05452201
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| Research Category |
Grant-in-Aid for General Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
情報通信工学
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| Research Institution | Tohoku University |
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Principal Investigator |
HIGUCHI Tatsuo Tohoku University, Graduate School of Information Sciences, Professor, 大学院・情報科学研究科, 教授 (20005317)
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| Co-Investigator(Kenkyū-buntansha) |
KAWAMATA Masayuki Tohoku University, Graduate School of Information Sciences, Associate Professor, 大学院・情報科学研究科, 助教授 (70153004)
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| Project Period (FY) |
1993 – 1994
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| Project Status |
Completed (Fiscal Year 1994)
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| Budget Amount *help |
¥5,800,000 (Direct Cost: ¥5,800,000)
Fiscal Year 1994: ¥1,300,000 (Direct Cost: ¥1,300,000)
Fiscal Year 1993: ¥4,500,000 (Direct Cost: ¥4,500,000)
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| Keywords | Multidimensional digital filter / Adaptive signal processing / System indentification / Visual signal processing / Noise reduction / ディジタルフィルタ / 適応フィルタ / 多次元信号処理 / 適応ディジタルフィルタ / 高精細映像 / 並列信号処理 |
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| Research Abstract |
This research studies multidimensional adaptive filters for the next generation visual communication.
2-D adaptive filter structures with lattice and direct forms and 2-D adaptive algorithms are proposed based on the LMS algorithm. These filter structures are applied to system identification and adaptive line enhancer in order to demonstrate their fast convergence speed and high ability of noise reduction.
Parallel separable 2-D adaptive filter structures are proposed based on the LMS algorithm. The most important features of these adaptive filters are ease of filter stability test and the possibility of arallel implementation. These adaptive filters need very few computational requirements such as O (n) - O (n^2) computations while conventional adaptive filters need O (n^2) - O (n^3) , where n is the order of adaptive filters.
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