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

25 次查看(过去 30 天)
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

采纳的回答

Abhishek Gupta
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: -
For more information, check out the following documentations: -
  1. lowpass filter
  2. Fast fourier transform

更多回答(0 个)

类别

Help CenterFile Exchange 中查找有关 Statistics and Linear Algebra 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by