derest

版本 2.0.0.0 (58.4 KB) 作者: Robert Piche
Automatic smoothing and differentiation of a noisy time series
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更新时间 2017/12/12

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This is a code for off-line smoothing and estimation of first and second derivatives of a function from a sequence of noisy measurements, which can be nonequally spaced. The algorithm is automatic: the user does not need to provide smoothing parameters, they are estimated in the code. The signal is modelled as a stationary double-integrated Wiener process and estimates are computed using a Kalman smoother. Theoretical details of the algorithm are presented in https://arxiv.org/abs/1610.04397

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Robert Piche (2024). derest (https://www.mathworks.com/matlabcentral/fileexchange/63925-derest), MATLAB Central File Exchange. 检索来源 .

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版本 已发布 发行说明
2.0.0.0

Added interpolation capability (implemented by Siva Kannan).

1.0.0.0

update title