Question about Fourier transformation

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    Fourier Transformation
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SUMMARY

This discussion centers on the comparison of Fourier transformations applied to a physical phenomenon and two emulating models. One model accurately predicts frequency, while the other, despite being shifted to higher frequencies, retains power similar to the original phenomenon. The power, defined as twice the absolute value of the Fourier coefficient, indicates the energy distribution across frequencies. The power spectral density (PSD) is crucial for analyzing the energy contained in specific frequency slices, providing insights into the behavior of the phenomenon over time.

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Frank Einstein
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Hello everybody.

I am currently comparing fourier's transformation of one physical phenomena and a two models which seek to emulate it.

One of the models nails the frecuency and the other one even though it's displaced to higher frequencies the power (defined as 2* absolute value of fourier's coefficient) looks like the original.

If I understand correctly, the power is proportional to the amount of times the phenomenon has happened for these frequencies, so the first one is good to predict that something is happening at some frequencies, but the second is better for knowing the differences between the periods in which the phenomenon can happen.

If someone could tell me about the meaning of the power of fourier's transform so I could provide a good analysis of both models I wolud be exrtremley thankful.

Thanks for reading.
 
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I can't follow quite what you are saying, so I will reply with just a general explanation. The power spectral density (PSD) is given by the magnitude-squared of the Fourier coefficient. It has units of W/Hz or J, and is a measure of the energy contained in the frequency slice represented by that coefficient.
 

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