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Filtering out the noise in the observations by applying a low pass filter
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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
2021-2-19
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: -
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/524539/image.png)
For more information, check out the following documentations: -
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