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Find full-width-half-max of signal amongst noise floor.

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Stanley
Stanley 2024-6-24
编辑： David Goodmanson 2024-6-27
Hello there,
I am new to Matlab and struggling to find the FWHM of this signal amongst the noise floor. My plan thus far has been to find the average noise floor level on the y-axis (-72) and use that averaged level as the base before calculating the FWHM, however, I dont quite know how to continue from there and my prelimnary use of findpeaks isn't working. Any tips?

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Karl
Karl 2024-6-24
Ran in:
One approach would be to subtract the average noise floor level from the intensity values. You could then estimate the signal FWHM as the interval between intensity values multipled by the number of (noise-subtracted) intensity values greater than half the maximum.
% Define example intensity values (a.u.) as function of wavelength (nm).
dx = 0.2;
x = [2770:dx:2830];
y1 = (zeros(size(x))-72)+normrnd(0,3,size(x))+30*normpdf(x,2785,0.3);
% Plot example intensity values.
figure
plot(x,y1)
xlabel('Wavelength (nm)')
ylabel('Intensity (a.u.)')
ylim([-220, -20])
% Estimate noise as mean intensity value far from signal.
noise = mean(y1(y1<2780|y1>2785))
noise = -71.1836
% Obtain intensity values after noise subtraction.
y2 = y1 - noise;
% Plot intensity values after noise subtraction.
figure
plot(x,y2)
xlabel('Wavelength (nm)')
ylabel('Intensity (a.u.)')
% Estimate signal half maximum.
hm = 0.5*max(y2)
hm = 22.1144
% Estimate signal full with at half maximum.
fwhm = dx*numel(y2(y2>hm))
fwhm = 0.6000

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