How to smooth and normalize noisy data

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I plotted sumrate against number of iterations but my data is very noisy. I need a smooth PDF, how can I smooth and normalize the attached noisy data. Thanks.
  2 Comments
Felix Obite
Felix Obite on 18 Sep 2022
i need to improve on this, have tried several smoothing function.

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Accepted Answer

Star Strider
Star Strider on 18 Sep 2022
I have no idea what result you want.
One option is the filloutliers function (or similar functions) and another is the Signal Processing Toolbox sgolayfilt function to do broadband filtering.
  2 Comments
Felix Obite
Felix Obite on 18 Sep 2022
Edited: Felix Obite on 18 Sep 2022
hi, i tried sgolayfilt function, but got error message. so I used the following function:
pro_position = [451 461 913 271];
smooth_rate = 0.01; % other pdfs with less smoothing
h = figure;
h.Position = pro_position;
plot(i,smooth(x, smooth_rate))
And this is the best I could get. I need to improve the convergence plot.
Star Strider
Star Strider on 18 Sep 2022
It would be interesting to see your sgolayfilt call. I usually use a degree 3 polynomial, begin with a frame length that is about 5% of the length of the vector, and then adjust the framelength until I get the result I want.
There are several smooth functions. I have no idea which one you are referring to.

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More Answers (1)

KALYAN ACHARJYA
KALYAN ACHARJYA on 18 Sep 2022
Please check the smoothdata Matlab function
it can smooth the data in number of ways, note that the trade-off between the actual data points and the averaged data points should be within the acceptable level.

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