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Thread Subject:
Power spectral analysis, FFT of time series

Subject: Power spectral analysis, FFT of time series

From: shinchan

Date: 18 Aug, 2009 17:54:03

Message: 1 of 1

I have a question about power spectral analysis. Lets assume I have 20 data points sampled at 1Hz. I want to know how power spectrum change withing 20s.

If I divide the 20 points into two 10-points (first 10s and last 10s), does total signal power of each 10s dataset still add up to the total power of the 20s? I don’t know why or why not.

My own answer is “no” based on the execution of the following code (A not same as B). Also, for example, take a look at power at 0.1Hz. The power from 20s is not equal to the sum of the two 10s power.

I appreciate your reply or input in this matter.

tt =[ -0.0669 -0.1241 0.2598 0.2895 -0.3188 -0.0159 -0.0601 0.1406 0.2037 0.2490 -0.2297 0.1740 0.1494 -0.3431 -0.3867 -0.0073 0.4541 -0.1653 0.0796 -0.2819];
f_tt = fft(tt);
power_tt=f_tt .* conj(f_tt); %Square the fft result to get power.
f=1*(0:numel(tt)/2)/numel(tt); %Sampled at 1Hz. This is fraction of sampling frequency.
A= sum(power_tt(1:11));

%Now split 20s into two 10s, and correct for the mean of each 10s dataset.

power_half1=f_half1 .* conj(f_half1);
power_half2=f_half2 .* conj(f_half2);
B = sum(power_half1(1:6))+sum(power_half2(1:6));

figure(1); plot(f, power_tt(1:(numel(tt)/2+1)), '.');
figure(2); plot(half_f, power_half1(1:(numel(power_half1)/2+1)), '.');
figure(3); plot(half_f, power_half2(1:(numel(power_half2)/2+1)), '.');

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