Peak alignment from matrix of curves

Hi, I'm working on a project that needs me to align and average multiple curves into a single curve. Right now I have a 150x4 matrix that gives the graph:

I need to shift the graphs so that all of their peaks line up but I'm not sure how I should do it. Here is also the relevant code:

Stress_min = islocalmin(Stress_smooth, 'MinProminence', prominence);
figure;
plot(time, Stress_smooth, time(Stress_min), Stress_smooth(Stress_min), 'r*')
mins_locs = ceil(time(Stress_min) * 30);
num_min = length(mins_locs)-1;
for i = 1:num_min
    Stress_smooth_curves = Stress_smooth(mins_locs(i):mins_locs(i+1));
    Stress_curves(1:length(Stress_smooth_curves), i) = Stress_smooth_curves;
end
figure;
plot(Stress_curves);

Answer 1

[Star Strider]

See if the alignsignals (link) function will provide the result you need. Choose one signal and align the rest of them to it.

[Samuel Tomp]

The problem I'm running into with alignsignals is that since I can only do two signals at a time, and I have 4-6 signals each time, the final signals don't always align with each other. Side note do you know why I'm only getting three signals after running the align signals?:

[r,c] = size(Stress_curves)
disp(Stress_curves);
for i = 2:c
    Aligned_curves(:, i-1) = alignsignals(Stress_curves(1:r, i-1), Stress_curves(1:r, i), [], 'truncate');
end
figure;
plot(Aligned_curves);

[Samuel Tomp]

Actually sorry I know why I only had three, I was only assigning one value each iteration, I fixed that but I still have them not lining up:

[Star Strider]

I suggested that you choose one signal and align the others with it. Then plot all of them.

My guess is that you are either not plotting all the signals, or that one of them is precisely aligned with and is therefore overplotting another one.

[Samuel Tomp]

That worked perfectly thank you!

[Star Strider]

As always, my pleasure!