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Filtering out the noise in the observations by applying a low pass filter

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Ali Saremi
Ali Saremi on 16 Feb 2021
Commented: Ali Saremi on 22 Feb 2021
Hi,
I need to filter out the nosie in my observation data. Based on my understanding, I should use Low Pass Filter function. I was wondering if someone could help me with this?
I have attached the excel file as well.
Thank you and I look forward to hearing from you.
Kind regards,
Ali

Accepted Answer

Abhishek Gupta
Abhishek Gupta on 19 Feb 2021
Hi,
As per my understanding, you want to remove noise from your data using low-pass filter. You can do the same using the 'lowpass()' function in MATLAB. See the code below: -
% Import data from excel and save it as a variable
% Load the saved variable
load('ObservationData.mat');
signal = ObservationData.Value; % signal vector
% Use Fourier transforms to find the frequency components of a signal buried in noise
y = fft(signal);
f = (0:length(y)-1)*50/length(y);
plot(f,abs(y))
% Apply lowpass filter
lowpass(signal,10,1e3)
Output: -
For more information, check out the following documentations: -
  1. lowpass filter
  2. Fast fourier transform
  1 Comment
Ali Saremi
Ali Saremi on 22 Feb 2021
Hi Abhishek Gupta,
Thank you so much for your help. It worked for me. Wish you a good day.
Regards,
Ali

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