Main Content

Find Peaks in Data

Usefindpeaksto find values and locations of local maxima in a set of data.

The filespots_num.matcontains 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(“年”) ylabel('Number') axistight

图包含一个n axes object. The axes object contains 2 objects of type line.

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, usefindpeaksagain, 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(“年”) ylabel('Number') title('Sunspots') axistightlegend('Data',“高峰”,'Location','NorthWest')

图包含一个n axes object. The axes object with title Sunspots contains 2 objects of type line. These objects represent Data, peaks.

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(的频率(年^ {1})) ylabel('| FFT | (dB)') axis([0 1/2 yaxis]) text(1/meanCycle + .02,25,['<== 1/'num2str(meanCycle)])

图包含一个n axes object. The axes object contains 3 objects of type line, text.

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
holdonplot(f(MaxFreq),pk,'or') holdofflegend('Fourier transform','1/meanCycle','1/Period')

图包含一个n axes object. The axes object contains 4 objects of type line, text. These objects represent Fourier transform, 1/meanCycle, 1/Period.

The two estimates coincide quite well.

See Also

|

Related Topics