minEntropyDeconv(x,​L,maxIter)

Version 1.1.0.0 (2,34 ko) par njj1
This function develops a minimum entropy deconvolution filter for a sequence x
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Mise à jour 23 avr. 2018

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A minimum entropy deconvolution (MED) filter is used to accentuate impulsive portions of a signal. It was developed to process seismic data, but has been widely used to process machinery signals where bearing and gear degradation is a concern. This function takes a single vector (x) a filter length (L), and a maximum number of iterations (maxIter) and iteratively develops a filter that minimizes the entropy (or alternately maximizes the kurtosis).

Citation pour cette source

njj1 (2024). minEntropyDeconv(x,L,maxIter) (https://www.mathworks.com/matlabcentral/fileexchange/66434-minentropydeconv-x-l-maxiter), MATLAB Central File Exchange. Récupéré le .

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Créé avec R2017b
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Version Publié le Notes de version
1.1.0.0

Only updated the title
Changed a couple lines in the code to update the output and adds an input for the maximum number of iterations.
1.0.0.0