I have saved different Matlab plots in an unique .fig. The figure is like this:
Now, I would like to introduce a filter in these plots to reduce the noises, but unfortunately I have lost the code that generates these signals.
Is there a way to extract data of each signal in this figure?
I tried this:
open('ttc_delay1000.fig');
h = gcf; %current figure handle
axesObjs = get(h, 'Children'); %axes handles
dataObjs = get(axesObjs, 'Children'); %handles to low-level graphics objects in axes
objTypes = get(dataObjs, 'Type'); %type of low-level graphics object
xdata = get(dataObjs, 'XData'); %data from low-level grahics objects
ydata = get(dataObjs, 'YData');
But I am confused and I don't know if it's the right way to act. Thanks!
A one-liner for your problem:
data = get(findobj(open('ttc_delay1000.fig'), 'Type','line'), {'XData','YData'});
The steps are there (from the inner calls to the outer calls):
data{n,1}
will contain the XData
of the LineSeries
number n
, wile the data{n,2}
will contain the YData
of the said LineSeries
.
If you want to smooth the lines directly in the figure, the idea is the same:
%//Prepare moving average filter of size N
N = 5;
f = @(x) filter(ones(1,N)/N, 1, x);
%//Smooth out the Y data of the LineSeries
hf = open('ttc_delay1000.fig');
for hl = transpose(findobj(hf,'Type','line'))
set(hl, 'YData', f(get(hl,'YData')));
end;
saveas(hf, 'ttc_delay1000_smooth.fig');