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Process raw data using lowpass filter

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Hi,
I have a excel file with raw data containg 1200 rows and 2 columns named A and B. I'm try to apply a lowpass filter on the signal but looks like its not working, hopefully someone on here may have time to guide me to the right direction.
here is what I did so far:
imported data as a table -> created a script -> inside of the script -> load rawdata.csv
% sampling frequency [Hz]
Fs = 1000;
% sampling period [s]
Ts = 1/Fs;
% time vector [s]
t = 0:Ts:3;
% Signal A
sig_A = rawdata(:,1);
% Signal A
sig_B = rawdata(:,2);
order = 4;
fcut = 8000;
[sig_A,sig_B] = butter(order,fcut/(fs/2),'low');
x = filter(sig_A,sig_B);

Accepted Answer

Alberto Mora
Alberto Mora on 10 Feb 2021
Edited: Alberto Mora on 10 Feb 2021
You are confusing the filter coefficient with the raw signal.
Try this:
[b,a] = butter(order,fcut/(fs/2),'low');
sig_a_filt = filter(b, a, sig_A );
  5 Comments
nam bui
nam bui on 10 Feb 2021
this is help, thank you and I'll accep this as anwser for sure
Rahim Nami
Rahim Nami on 13 Oct 2022
Hi everyone
Please, mathematical formula or mathematical model of the codes used. you insert
thank you
r_nami@gmx.com

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