Simple Low Pass Filter without Signal Processing Toolbox

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Hi all,
I am facing a really stupid issue about filtering noises in a signal. I have to mention that the license bought by my company don't allow access to the signal processing toolbox.
To do so, I simply defined a low pass filter using the "filter" function as follows:
Heading = AllHeading{1,k}; % the signal to filter
Time = AllTime{1,k}; % the time vector
Tnoise = 10; % the cutoff period
Te = mean(Time(2:end)-Time(1:end-1)); % the sampling period
wt = Te/Tnoise; % the normalised cutoff frequency
Heading_f = filter(1,[1 -wt],Heading); % the filtered signal
I don't know if the transfer function that I defined is wrong or if I am missing some points, but the the signal isn't filtered and is just vertically moved, as if the mean value were increased...
Any help ?
JB
  1 个评论
Hui Puong
Hui Puong 2021-2-8
Hello, I wondering how can you apply your code on an excel file data that imported into Matlab with two variables named X and Y?
Thank you in advance

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回答(2 个)

Image Analyst
Image Analyst 2014-5-27
You can use conv() to do linear filtering.

jb
jb 2014-5-27
Hi, thank you for your answer !
Sorry, I am close to be a "signal processing" dummy, but I thought I can't use the conv function for a IIR filter ?

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