Prashant Kumar answered . 2024-05-17 20:57:31

I would use the findpeaks function, a very useful function I like to use for finding peaks of particular width without going through a loop. I showcase how you might be interested in using this function below, with a sample array A. I convert it to a binary sequence that is either larger than or smaller than the threshold of 90 degrees, and then I find the location of the start of the increased temperature, and the extent of this increased temperature.

% Generating fake temperature data
A = floor(100*rand(2650,1));

% Creating a binary array of when the value is greater than 90 degrees F
B = ones(size(A));
B(A < 90) = 0;

% finding the number of times the temperature is larger than 90 degrees F
% at least 2 times in a row
findpeaks(B, 'MinPeakWidth', 2)
[pks,locs,w,p] = findpeaks(B, 'MinPeakWidth', 2);

% pks provides the peak values, the locs provides the peak locations, the w
% provides the width of the peak, and the p provides the prominence of the
% peaks. w should provide some useful information to you.

Hope this code helps, you learned the function, and it proves useful for your application!

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