Python Tutorial: Learn Scipy - Fast Fourier Transform (scipy.fftpack) in 17 Minutes

SciPy offers Fast Fourier Transform pack that allows us to compute fast Fourier transforms.
Fourier transform is used to convert signal from time domain into the frequency domain. By doing so, it doesn’t not only allows us to check the signal’s behavior in the frequency domain, but also allows us to perform some functions, such as filtering, that would be otherwise not possible to be performed in time-domain. Fourier transformation finds its application in disciplines such as signal and noise processing, image processing, audio signal processing, etc.

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[TimelyTimeSeries]

Thanks a lot for this video. As someone with no engineering background, this demonstration makes the concept much easier to understand.

[dhruv_]

great video man, you explained everything so well not only that those small boxes at top right corner telling what the function does is a really smart idea. for the first time I understood everything in a programming tutorial, thank you brother : )

[syremusic_]

Excellent video, a practical introduction to how to use FFT to find the peak frequency in a noisy signal. You can take this a step further and find the n peak frequencies in a signal and attempt to reconstruct the original signal. Thank you!

[luisponce]

Excellent video. keep it going, you helped me a lot on my mechanical dynamics class.

[kaewkt]

Thank you, it's very clear explanation

[rajeshn]

Thank you so much, it helped a lot in understanding FFT

[dman]

Thank you very much. Your video is very clear and functional.

[ushapedcurve]

Great tutorial! I think it-s recommended to build graph of each intermediate output in JPEG format, for better understanding. So that the student had some pyplot practice.

[alierencelik]

Excellent video for a starter like me, thanks

[dsmith]

Nice explanation and tutorial; it helped me understand FFT a bit better.

[txzrxog]

Thanks man, very good video. Very simple from the information i looked online

[garrisonhustle]

A pretty easy tool for filtering, nice intro!

[jiehuang]

Very helpful, perhaps can add more plotting when showing how the data is like.

[VanNguyen-ypcd]

Thank you so much. It's very useful and your explain clearly.

[rio_agustian_]

Cool video, sir. Great explanation! But can you plot the bunch of numerical stuff instead of just print it? I think it'll be more intuitive for the viewers

[princecharlesmbedzi]

what arguments did you use to plot the amplitude vs frequency graph

[apoorvmodak]

would have understood better with graphical representations

[nickpenacl]

thanks for the video, just don't understand how the amplitude could be 100 in the spectrum when it's supposed to expect be 1

[kevinshao]

Thanks for the great video! One question, 9:40 why sample freq goes symmetric around zero, why not go with one side of the x axis [0 .... n ] ? so mathematically, what are these generated frequencies? are they unique?

[HarpreetKaur-bxej]

am getting both amplitude position and peak frequency 0, what should i do i am not getting valid result