Use findpeaks
to find values and locations of local maxima in a set of data.
The file spots_num.mat
contains the average number of sunspots observed every year from 1749 to 2012. The data are available from NASA.
Find the maxima and their years of occurrence. Plot them along with the data.
load('spots_num.mat') [pks,locs] = findpeaks(avSpots); plot(year,avSpots,year(locs),pks,'or') xlabel('Year') ylabel('Number') axis tight
Some peaks are very close to each other. The ones that are not recur at regular intervals. There are roughly five such peaks per 50-year period.
To make a better estimate of the cycle duration, use findpeaks
again, but this time restrict the peak-to-peak separation to at least six years. Compute the mean interval between maxima.
[pks,locs] = findpeaks(avSpots,'MinPeakDistance',6); plot(year,avSpots,year(locs),pks,'or') xlabel('Year') ylabel('Number') title('Sunspots') axis tight legend('Data','peaks','Location','NorthWest')
cycles = diff(locs); meanCycle = mean(cycles)
meanCycle = 10.8696
It is well known that solar activity cycles roughly every 11 years. Check by using the Fourier transform. Remove the mean of the signal to concentrate on its fluctuations. Recall that the sample rate is measured in years. Use frequencies up to the Nyquist frequency.
Fs = 1; Nf = 512; df = Fs/Nf; f = 0:df:Fs/2-df; trSpots = fftshift(fft(avSpots-mean(avSpots),Nf)); dBspots = 20*log10(abs(trSpots(Nf/2+1:Nf))); yaxis = [20 85]; plot(f,dBspots,1./[meanCycle meanCycle],yaxis) xlabel('Frequency (year^{-1})') ylabel('| FFT | (dB)') axis([0 1/2 yaxis]) text(1/meanCycle + .02,25,['<== 1/' num2str(meanCycle)])
The Fourier transform indeed peaks at the expected frequency, confirming the 11-year conjecture. You also can find the period by locating the highest peak of the Fourier transform.
[pk,MaxFreq] = findpeaks(dBspots,'NPeaks',1,'SortStr','descend'); Period = 1/f(MaxFreq)
Period = 10.8936
hold on plot(f(MaxFreq),pk,'or') hold off legend('Fourier transform','1/meanCycle','1/Period')
The two estimates coincide quite well.
Matlabsolutions.com provides guaranteed satisfaction with a
commitment to complete the work within time. Combined with our meticulous work ethics and extensive domain
experience, We are the ideal partner for all your homework/assignment needs. We pledge to provide 24*7 support
to dissolve all your academic doubts. We are composed of 300+ esteemed Matlab and other experts who have been
empanelled after extensive research and quality check.
Matlabsolutions.com provides undivided attention to each Matlab
assignment order with a methodical approach to solution. Our network span is not restricted to US, UK and Australia rather extends to countries like Singapore, Canada and UAE. Our Matlab assignment help services
include Image Processing Assignments, Electrical Engineering Assignments, Matlab homework help, Matlab Research Paper help, Matlab Simulink help. Get your work
done at the best price in industry.