How to find second dominant frequency?

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mat mat
mat mat on 21 Mar 2016
Commented: Image Analyst on 2 Mar 2022
here i have code that determine dominant frequency, but i want to find the second dominant from the signal.
if true
y = fft(x,nfft); % Fast Fourier Transform
y = abs(y.^2); % raw power spectrum density
y = y(1:1+nfft/2); % half-spectrum
[v,k] = max(y); % find maximum
f_scale = (0:nfft/2)* Fs/nfft; % frequency scale
plot(f_scale, y),axis('tight'),grid('on'),title('Dominant Frequency')
fest = f_scale(k); % dominant frequency estimate
fprintf('Dominant freq.: true %f Hz, estimated %f Hznn', f, fest)
fprintf('Frequency step (resolution) = %f Hznn', f_scale(2))
end

Answers (2)

Image Analyst
Image Analyst on 21 Mar 2016
Depends on how you define "dominant". You could just sort the signal and take the second largest one. But there are other ways you could define it. Why don't you supply x, or at least a screenshot of your plots?

Star Strider
Star Strider on 21 Mar 2016
If you have the Signal Processing Toolbox, use the findpeaks function.
  3 Comments
Star Strider
Star Strider on 2 Mar 2022
Use the findpeaks name-value pair arguments to constrain what the function does and the results it produces.
Image Analyst
Image Analyst on 2 Mar 2022
@Nidhi Singh findpeaks gives the peak values. If you want you could sort them and take the 3 highest.
[peakValues, indexesOfPeaks] = findpeaks(y);
[sortedValues, sortOrder] = sort(peakValues, 'descend');
threeHighestValues = sortedValues(1:3)
indexes3 = indexesOfPeaks(sortOrder(1:3))

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