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Digma avatar Digma commented on August 21, 2024

To me it is not very clear what you want to achieve here. The FFT performs a fourier transform which transform your time-series into a frequency representation which is not a timeserie anymore. Are you referring instead to a Short-time fourrier transform (https://en.wikipedia.org/wiki/Short-time_Fourier_transform) which take a sliding window and perform the fourrier transform on that?

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kstyrc avatar kstyrc commented on August 21, 2024

The idea is to approximate given time serie with FFT & extrapolate for future points.

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brandtkilian avatar brandtkilian commented on August 21, 2024

Gael take a look at https://www.youtube.com/watch?v=VYpAodcdFfA this is what we plan to implement and was suggested by Julien

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Digma avatar Digma commented on August 21, 2024

I see, you need to filter some of the frequency (e.g. low pass filter) in the frequency domain and use that to do forecasting. Otherwise you are just back with the same initial time-serie just repeating.

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brandtkilian avatar brandtkilian commented on August 21, 2024

Yes the forecasting algorithm relies on the Fourier Transform but it is not an implementation of FFT, I agree that maybe the name of the task is not detailed enough.

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TheMP avatar TheMP commented on August 21, 2024

Closing as it's implemented already.

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