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I am trying to find the method of locating the gaussian peaks from the photon count data. x axis is the number of photons for each spot and y axis is the counted spots.
I used findpeaks function to find peaks. The solid line is created by sgolayfilt.
hgcs = sgolayfilt(hgc, 10, 41); plot(hgc); hold on;plot(hgcs) findpeaks(hgc, 'MinPeakDistance', 20)
The peaks that I want to recover are located about 40, 80, 120, and 160.
Question1: Are there any functions or algorithms that can determine the number of peaks and the locations?
Question2: After 160, there are small features. Some of them may be still peaks following the first four peaks. At least, we know that the locations of peaks are quasi-periodic. Could we also find more peaks?
ANSWER
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I gave up on estimating the width parameter, and just went for the amplitude and location with a uniform width.Try This: D = load('hgc.mat');
hgc = D.hgc;
x = linspace(0, numel(hgc), numel(hgc));
hgcs = sgolayfilt(hgc, 10, 41);
figure
plot(x,hgc)
hold on
plot(x,hgcs)
hold off
grid
[pks,locs,w] = findpeaks(hgc, 'MinPeakDistance', 20, 'MinPeakProminence',5);
gausfcn = @(b,x) b(1).*exp(-(x-b(2)).^2 * 0.05);
for k = 1:numel(locs)SEE COMPLETE ANSWER CLICK THE LINK
Matlabsolutions.com provide latest MatLab Homework Help,MatLab Assignment Help for students, engineers and researchers in Multiple Branches like ECE, EEE, CSE, Mechanical, Civil with 100% output.Matlab Code for B.E, B.Tech,M.E,M.Tech, Ph.D. Scholars with 100% privacy guaranteed. Get MATLAB projects with source code for your learning and research.
I gave up on estimating the width parameter, and just went for the amplitude and location with a uniform width.
Try This:
D = load('hgc.mat');
hgc = D.hgc;
x = linspace(0, numel(hgc), numel(hgc));
hgcs = sgolayfilt(hgc, 10, 41);
figure
plot(x,hgc)
hold on
plot(x,hgcs)
hold off
grid
[pks,locs,w] = findpeaks(hgc, 'MinPeakDistance', 20, 'MinPeakProminence',5);
gausfcn = @(b,x) b(1).*exp(-(x-b(2)).^2 * 0.05);
for k = 1:numel(locs)SEE COMPLETE ANSWER CLICK THE LINK
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