# Periodogram local maximum

I want to find dominant frequencies of periodogram exactly.

data = Table[5*Sin[0.241*Pi*n ] +3.7*Sin[0.555*Pi*n] + RandomReal[{-1, 1}], {n, 0, 127}];
Periodogram[data]


For example in this signal we have 2 dominant frequency (0.241/2,0.555/2). I have a signal with more frequencies that i need find them with high accuracy. I want to know local maximums of every periodogram and in addition sign this points on periodogram plot. please show me a way. Thank you very much.

The periodiogram is basically plotting the FFT of the data, so you can take the peaks of this:

data = Table[5*Sin[0.241*Pi*n] + 3.7*Sin[0.555*Pi*n] +
RandomReal[{-1, 1}], {n, 0, 127}];
fftData = Take[20 Log[10, Abs[Fourier[data]]], {2, 64}];
peaks = FindPeaks[fftData, 0, 0, -Infinity];
GraphicsRow[{Periodogram[data, SampleRate -> 127],
Show[{ListLinePlot[fftData],
ListPlot[peaks, PlotStyle -> Red]}]}, ImageSize -> 600] The variable peaks contains all the peaks of the signal and their locations.

• This pick frequency is wrong!!! this plot isn't the same as periodogram. In this plot we can see 2 dominant pick frequency that aren't (0.241/2,0.555/2). How can i generate exactresult of periodogram? i think this plot is scaled of periodogram not exact periodogram. i compare this plots in my code and they are not the same. – Farshid Nov 1 '18 at 11:01
• Plz run this code for see this problem that 2 plot are different in scaling. and i add samplerate->100 to this code. with or without samplerate this plots are not the same. i need plot with samplerate->100. data = Table[ 5*Sin[0.241*Pin] + 3.7*Sin[0.555*Pin] + RandomReal[{-1, 1}], {n, 0, 127}]; fftData = Take[20 Log[10, Abs[Fourier[data]]], 64]; peaks = FindPeaks[fftData, 0, 0, -Infinity]; Show[{ListLinePlot[fftData], ListPlot[peaks, PlotStyle -> Red], Periodogram[data, SampleRate -> 100, PlotStyle -> Green]}] – Farshid Nov 1 '18 at 11:06
• The plots differ only by the labeling on the horizontal axis. Since you did not originally specify a sampling rate, I did not include one in the above code. The FFT plot is in normalized units. You may wish to try and understand what you are plotting before relying on it. – bill s Nov 1 '18 at 14:36
• with or without sampling rate two plots are different in horizontal axis and i cant use this code for finding correct frequency. All of frequencies have an offset that is very important for me. my goal was find exact value of this frequencies. even without samplerate option i cant find exact frequency that periodogram's show. all of frequencies have an offset that i cant remove or estimate this offset. I want to know exact frequencies that periodogram shows. just without samplerate option. Accurate peak frequencies are(0.241/2Hz,0.555/2Hz) But in your answer (16Hz,37Hz)!!! – Farshid Nov 1 '18 at 17:15
• Thanks for your answer bill s. My problem was exact number of peak frequencies that periodogram shows, without samplerate option. I have strange and unknown signals that needs to know their peak frequencies exactly(without samplerate option). Just exact frequencies is important. I want to know periodogram peak point exact frequencies. – Farshid Nov 1 '18 at 17:33