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.
  3 个评论
Nahashon O
Nahashon O 2020-6-18
Do you have a simple implementation on how to average the blocks where data is changing slowly as you've suggested in the second statement. I will be greatful for a snippet of code on how to implement this.

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回答(1 个)

Image Analyst
Image Analyst 2020-6-18
Try movmedian() where the window width is the width of your step width. The median filter removes noise while keeping edges sharp.
  1 个评论
Nahashon O
Nahashon O 2020-6-18
Hi Image Analyst,
I have used movemedian and yes it has removed the noise while keeping the edges sharp.
Now getting the value of each step so that I finally have 125 elements in the column is giving me some trouble. I will appreciate any ideas you through my way. Thanks

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