Seperate high and low frequeny components from signal.
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Hello
Please help me in separating low and high frequency components of signal(Time series data) recorded from a biological system. For data please refer to the column 2 of attached file.
The objective of my work is to select a random frequency threshold and then plot separate time series for low and high frequency components.
Thank you
5 Kommentare
Star Strider
am 10 Okt. 2014
When I did a FFT of your data (column 1), there was only noise above about 5 Hz.
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Image Analyst
am 10 Okt. 2014
Bearbeitet: Image Analyst
am 10 Okt. 2014
You can put this in a loop to extract from element 1 to the point and from the point to the end. Fit each segment to a line and record the slope. Plot the slopes and see where it starts to deviate from a constant. Something like (totally off the top of my head and untested)
for k = 1 : length(signal)
leftSignal = signal(1:k);
rightSignal = signal(k:end);
% Now fit
coeffs = polyfit(1:k, leftSignal, 1);
leftSlopes(k) = coeffs(1);
coeffs = polyfit(k:length(signal), rightSignal, 1);
rightSlopes(k) = coeffs(1);
end
plot(leftSlopes, 'b-', 'LineWidth', 2);
plot(rightSlopes, 'r-', 'LineWidth', 2);
grid on;
legend('Left Slopes', 'Right Slopes');
3 Kommentare
Image Analyst
am 10 Okt. 2014
The signal I was talking about was the log of the frequency domain signal, NOT the time domain signal. So it should still work once you use the proper signal.
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