| Fusion and estimation of dynamic multiscale system based on M-band wavelet | |
| Cui Pei-Ling ; Wang Gui-Zeng ; Pan Quan | |
| 2010-05-06 ; 2010-05-06 | |
| 关键词 | Theoretical or Mathematical/ Kalman filters state estimation wavelet transforms/ dynamic multiscale system M-band wavelet multiple sensors Kalman filter optimal state estimation/ C1260S Signal processing theory C1220 Simulation, modelling and identification C1130 Integral transforms |
| 中文摘要 | In this paper, the fusion and estimation algorithm of a class of dynamic multiscale systems is investigated. This system is subject to the known dynamic system model, and is measured by multiple sensors with different sampling rates. The sampling rates decrease by a factor of M(M>2). M-band wavelet is used to approximate the projection relationship between the scale spaces, and system model that satisfies Kalman filter condition is built. After performing Kalman filter, the optimal state estimation can be obtained. Simulation results are given to obtain insight into the effectiveness of our method. |
| 语种 | 中文 ; 中文 |
| 出版者 | Science Press ; China |
| 内容类型 | 期刊论文 |
| 源URL | [http://hdl.handle.net/123456789/9637]  |
| 专题 | 清华大学 |
| 推荐引用方式 GB/T 7714 | Cui Pei-Ling,Wang Gui-Zeng,Pan Quan. Fusion and estimation of dynamic multiscale system based on M-band wavelet[J],2010, 2010. |
| APA | Cui Pei-Ling,Wang Gui-Zeng,&Pan Quan.(2010).Fusion and estimation of dynamic multiscale system based on M-band wavelet.. |
| MLA | Cui Pei-Ling,et al."Fusion and estimation of dynamic multiscale system based on M-band wavelet".(2010). |
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