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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 2021년 2월 16일
댓글: Ali Saremi 2021년 2월 22일
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

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Abhishek Gupta
Abhishek Gupta 2021년 2월 19일
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
  댓글 수: 1
Ali Saremi
Ali Saremi 2021년 2월 22일
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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