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
  2 个评论
Jan
Jan 2023-1-30
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
Mathieu NOE 2023-1-30
and also it's quite usefull to share the data and some code if you have started one

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回答(1 个)

Sarvesh Kale
Sarvesh Kale 2023-1-31
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
  1. 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
  2. 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
  3. 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.
  3 个评论
Sarvesh Kale
Sarvesh Kale 2023-1-31
Thank you for your inputs on mean calculation @Jan

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