2010 Fiscal Year Final Research Report
An application of time-frequency analysis using wavelet to blind source separation problem
| Project/Area Number |
20540168
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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 |
Basic analysis
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| Research Institution | Osaka Kyoiku University |
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Principal Investigator |
MORIMOTO Akira Osaka Kyoiku University, 教育学部, 准教授 (50239688)
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| Co-Investigator(Kenkyū-buntansha) |
ASHINO Ryuichi 大阪教育大学, 教育学部, 教授 (80249490)
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| Co-Investigator(Renkei-kenkyūsha) |
MANDAI Takeshi 大阪電気通信大学, 工学部, 教授 (10181843)
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| Project Period (FY) |
2008 – 2010
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| Keywords | ウェーブレット / 時間周波数 / 信号源分離 / 解析信号 / モノジェニック信号 / カクテルパーティ効果 / 画像分離 |
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| Research Abstract |
The cocktail party problem deals with the specialized human listening ability to focus one's listening attention on a single talker among a cacophony of conversations and background noise. The blind source separation problem corresponds to a way to enable computers to solve the cocktail party problem in a satisfactory manner. For this problem, we improved wavelet analysis, which can access time and frequency information on the signal. Moreover, we generalized our separation method to the n-dimensional case, and applied it to image separation problem.
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Research Products
(53 results)
