whati's solution for signal filtering ?
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Hi :) I'd like to know how to filter this signal in figure, can you give the solution ?
Thank's
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2 Comments
Jan
on 30 Jan 2023
It depends on what you consider as noise and what as signal. Maybe you want to get rid of the low frequencies, or the high ones. Maybe you want a band only, or exclude it. The readers cannot guess this detail.
Mathieu NOE
on 30 Jan 2023
and also it's quite usefull to share the data and some code if you have started one
Answers (1)
Sarvesh Kale
on 31 Jan 2023
I have made the assumption that the data around time 100 and 350 is error data that you would like to get rid of, I suggest the following steps
- subtract 400.2 from samples of data as noise data is having a mean of approximately 400.2, this will make noise data centered around 0
- perform FIR filtering such that it will smoothen the data, FIR filter to be used can be 0.2*[1 1 1 1 1], FIR filtering can be done using simple convolution operation
- Add the bias component back to the signal samples
Following is the code that achieves the above.
% assume data is X
X = X - 400.2 ;
f = 0.2*[ 1 1 1 1 1] ;
filtered = conv(X,f) ;
filtered = filtered + 400.2 ;
plot(filtered) ;
OR
Alternately, there is also an option of Clean Data under Home tab of MATLAB.
Import your data and select the smooth function from the App.
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