![]() Now peaks greater than six years are restricted and all acceptable peaks are separated to values. Again we found the peaks and plot it again. Then now we upgrade you’re approximate of the cycle duration by ignoring peaks that are near to each other peaks. Basically, sunspot.dat contains the average number of sunspots observed every year from 1700 to 1987. ![]() Let us see an example for findpeaks, first load the file sunspot.dat. = findpeaks(PeakSig1,x1,'SortStr','descend') And then we sort the peaks from the tallest to the shortest and label their peaks. Then plot the signal and label its peaks. And now we apply the findpeaks with revert settings to discover peaks of the signal and their locations. Then we plot individual curves and their sum. We specify the position, width, and height of every curve and take these into in Pos1, Hgt1, and Wdt1. Let us see an example for find peaks and their location using a findpeaks function, for these first we create a linearly spaced vector using a “linspace” function we create a vector from interval 0 to 1 and this vector we take into x1 variable.
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