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  1. BuildingRobustSimulation-basedFiltersforEvolvingDa

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  2. The need for accurate monitoring and analysis of sequential data arises in many scientic, industrial and nancial problems. Although the Kalman lter is effective in the linear-Gaussian case, new methods of dealing with sequential data are requi
  3. 所属分类:文件操作

    • 发布日期:2014-01-16
    • 文件大小:409.74kb
    • 提供者:阳关
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