| Project/Area Number |
18500146
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Perception information processing/Intelligent robotics
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| Research Institution | National Institute of Advanced Industrial Science and Technology |
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Principal Investigator |
KAWAMOTO Mitsuru National Institute of Advanced Industrial Science and Technology, Information Technology Research Institute, Resarch Scientist (10300865)
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| Co-Investigator(Kenkyū-buntansha) |
OGATA Jun Information Technology Research Institute, 情報技術研究部門, Research Scintist (10392599)
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| Project Period (FY) |
2006 – 2007
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| Project Status |
Completed (Fiscal Year 2007)
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| Budget Amount *help |
¥3,890,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥390,000)
Fiscal Year 2007: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2006: ¥2,200,000 (Direct Cost: ¥2,200,000)
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| Keywords | Moving sources / Bangs / Signal separation methods / Interfaces |
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| Research Abstract |
The objective of the research project is to propose the separation method for recovering moving sources and bangs from their mixtures. As for the method for separating moving sources, we have proposed three kinds of methods : 1. An eigenvector algorithms, 2 A super-exponential method, and 3 A beamforming. The eigenvector algorithm can work such that the desired solution for recovering sources can be obtained with one iteration. The super-exponential method can work so that the desired solution for recovering sources can be obtained with exponential rate. On the beamforming, at first, the localization of moving sources is implemented and then based on the information on the localization, the beamforming is applied to recover the moving sources. Among the three proposed method, the third one is best for separating moving sources. As for the method for separating bangs, we consider that the bang can be recovered by using the third method. On the problem of what are suitable methods for the interface between human and machine, we will continue to investigate its solutions.
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