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Kalman

于 2018-07-05 发布 文件大小:525KB
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  在数据有丢失的情况下,用kalman滤波实现状态估计(We study the statistical convergence properties of the estimation error covariance, showing the existence of a critical value for the arrival rate of the observations, beyond which a transition to an unbounded state error covariance occurs. We also give upper and lower bounds on this expected state error covariance.)

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Kalman filtering with intermittent observations.pdf, 656148 , 2018-07-05

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  • ministEditDist
    最小编辑距离是指两个字串之间,由一个转成另一个所需的最少编辑操作次数。许可的编辑操作包括将一个字符替换成另一个字符,插入一个字符,删除一个字符。一般来说,编辑距离越小,两个串的相似度越大。(The Minist Edit Distance is the minimum number of editing operations required to change from one to the other between two strings.)
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  • Kalman
    在数据有丢失的情况下,用kalman滤波实现状态估计(We study the statistical convergence properties of the estimation error covariance, showing the existence of a critical value for the arrival rate of the observations, beyond which a transition to an unbounded state error covariance occurs. We also give upper and lower bounds on this expected state error covariance.)
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