2010 Fiscal Year Final Research Report
Modern signal and image analysis by generalized entropy
| Project/Area Number |
19500245
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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 |
Statistical science
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| Research Institution | Kinki University |
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Principal Investigator |
KIKKAWA Sho Kinki University, 生物理工学部, 研究員 (30075329)
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| Co-Investigator(Kenkyū-buntansha) |
YOSHIDA Hisashi 近畿大学, 生物理工学部, 准教授 (50278735)
NAKASAKO Noboru 近畿大学, 生物理工学部, 教授 (90188920)
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| Co-Investigator(Renkei-kenkyūsha) |
HASHIMOTO Shuji 早稲田大学, 理工学術院, 教授 (60063806)
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| Project Period (FY) |
2007 – 2010
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| Keywords | α次エントロピー / 画像閾値決定 / 信号解析 / 独立成分分析 / 生体信号解析 / 相互情報量 / IPFM / 移動体間距離推定 |
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| Research Abstract |
(1) We proposed a new mutual information criterion for deciding an optimal mixture distribution and an optimal threshold. (2) We proposed the usage of Renyi's alpha-entropy as a measure of width of marginal distribution and obtained very intuitive new and simple ICA methods. (3) We proposed an adaptive method for smoothing the periodogram for positive time-frequency representation. For impulse train time-frequency analysis, we proposed an inverse domain demodulation method of IPFM and an objective evaluation method for demodulators. Further, we proposed distance estimation method exploiting time-frequency feature of reflected signal from a moving object.
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