derest

Automatic smoothing and differentiation of a noisy time series
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Mise à jour 12 déc. 2017

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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

Citation pour cette source

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

Compatibilité avec les versions de MATLAB
Créé avec R2017a
Compatible avec toutes les versions
Plateformes compatibles
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Version Publié le Notes de version
2.0.0.0

Added interpolation capability (implemented by Siva Kannan).

1.0.0.0

update title