Azzera filtri
Azzera filtri

How to filter high frequencies from recorded data?

70 visualizzazioni (ultimi 30 giorni)
I do have recorder data of air flow and time. Sampled with 25 Hz. But there is some high frequency noise I would like get rid of.
The blue line is original data. Yellow one is filterd with median filtration. After five negative peaks there is noise but it should be. These peaks should be in one peak. Than i would like to smooth the signal. I was thinking about using Fir filter but don't know which and how.
Thanks for your help!

Risposta accettata

Chandra il 2 Mag 2022
To remove high frequency noise, pass the signal through low pass filter.
Low pass filter can be of averaging filter, butterworth filter, Chebyshev filter etc..
Please refer the below example code for low pass filter with butterworth and averaging filter (averaging FIR filter)
%% butterworth filter low pass filtering
%[b,a] = butter(3,0.1,"low");
%% normal average filter in place of butterworth filter
b = (1/20)*ones(1,20);
a = 1;
%% filtering
out = filter(b,a,flow_S);
hold on
refer to filter function matlab

Più risposte (0)




Community Treasure Hunt

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

Start Hunting!

Translated by