Computing mean of each step in measurement data
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Hi everyone,
I have measurement data ‘measurement_data.mat’. I would like to compute the mean at each step where the value is not changing by a huge value. By eyeballing the plot of the data for the first column, it can be seen there are 125 steps. After computing the mean at each step I would like the data to finally be a matrix of 125x4 from being a matrix of 17850x4.
I have tried taking the mean of every n elements to get a meaningful result but it hasn't worked. The step size is not consistent all through.
Any kind of help or suggestion will be appreciated.
Thanks in Advance.
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Answers (1)
Image Analyst
on 18 Jun 2020
Try movmedian() where the window width is the width of your step width. The median filter removes noise while keeping edges sharp.
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