www.pudn.com > NumericalComputingwithMatlabCode.zip > sunspotstx.m, change:2003-12-30,size:3112b

% SUNSPOTSTX Updated version of toolbox/matlab/demos/sunspots.m % For centuries people have noted that the face of the sun is not % constant or uniform in appearance, but that darker regions appear % at random locations on a cyclical basis. This activity is correlated % with weather and other economically significant terrestrial phenomena. % In 1848, Rudolf Wolfer proposed a rule that combined the number and % size of these sunspots into a single index. Using archival records, % astronomers have applied Wolfer's rule to determine sunspot activity % back to the year 1700. Today the sunspot index is measured by many % astronomers and the worldwide distribution of the data is coordinated % by the Solar Influences Data Center at the Royal Observatory of Belgium. % % The text file sunspot.dat in the matlab/demos directory has two columns % of numbers. The first column is the years from 1700 to 1987 and the % second column is the average Wolfer sunspot number for each year. load sunspot.dat t = sunspot(:,1)'; wolfer = sunspot(:,2)'; n = length(wolfer); % There is a slight upward trend to the data. A least squares fit % gives the trend line. c = polyfit(t,wolfer,1); trend = polyval(c,t); plot(t,[wolfer; trend],'-',t,wolfer,'k.') xlabel('year') ylabel('Wolfer index') title('Sunspot index with linear trend') pause % You can definitely see the cyclic nature of the phenomenon. % The peaks and valleys are a little more than 10 years apart. % Now, subtract off the linear trend and take the finite Fourier transform. y = wolfer - trend; Y = fft(y); % The vector |Y|.^2^2 is the power in the signal. % A plot of power versus frequency is a periodogram. % We prefer to plot |Y|, rather than |Y|.^2, because the % scaling is not so exaggerated. % The sample rate for this data is one observation per year, % so the frequency #f# has units of cycles per year. Fs = 1; % Sample rate f = (0:n/2)*Fs/n; pow = abs(Y(1:n/2+1)); pmax = 5000; plot([f; f],[0*pow; pow],'c-', f,pow,'b.', ... 'linewidth',2,'markersize',16) axis([0 .5 0 pmax]) xlabel('cycles/year') ylabel('power') title('Periodogram') pause % The maximum power occurs near frequency = 0.09 cycles/year. % We would like to know the corresponding period in years/cycle. % Let's zoom in on the plot and use the reciprocal of frequency % to label the x-axis. k = 0:44; f = k/n; pow = pow(k+1); plot([f; f],[0*pow; pow],'c-',f,pow,'b.', ... 'linewidth',2,'markersize',16) axis([0 max(f) 0 pmax]) k = 2:3:41; f = k/n; period = 1./f; periods = sprintf('%5.1f|',period); set(gca,'xtick',f) set(gca,'xticklabel',periods) xlabel('years/cycle') ylabel('power') title('Periodogram detail') % As expected, there is a very prominent cycle with a length of % about 11.1 years. This shows that over the last 300 years, % the period of the sunspot cycle has been slightly over 11 years.