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

[@TimelyTimeSeries]

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

[@eMasterClassAcademy]

Thanks

[@dhruv_195]

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!

[@luisponce6594]

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

[@eMasterClassAcademy]

Thanks bro.

[@princecharlesmbedzi3832]

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

[@ushapedcurve3831]

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.

[@eMasterClassAcademy]

Great suggestion!

[@kevinshao9148]

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?

[@Altekameraden79]

The range of the Discrete Fourier Transform is -infinity to positive infinity to include all possible discrete signals. It is common practice to truncate spectrum from 0 Hz to Fmax (defined by sample rate, max resolution of sensor accuracy etc.)

[@kaewkt8987]

Thank you, it's very clear explanation

[@dman2633]

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

[@rajeshn2536]

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

[@ht1qth5qh4qh9]

You're welcome sir

[@VanNguyen-yp7cd]

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

[@dsmith5272]

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

[@garrisonhustle3289]

A pretty easy tool for filtering, nice intro!

[@HarpreetKaur-bx1ej]

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

[@alierencelik2188]

Excellent video for a starter like me, thanks

[@RUSSELL-s4h]

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

[@jiehuang9740]

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

[@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

[@supundasanthakuruppu3496]

Thanks. This helped a lot!

[@anwarparadis7997]

Amazing video I like it

[@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

[@eMasterClassAcademy]

thanks for watching, such a great suggestion!

[@nanoluisi]

Is it posible to generate a "clean" file out of fft?

[@importantbiology7643]

Please code seen clear or share PDF link .

[@nyatoko8578]

Where is the magnitude sir?

[@fjlord407]

Nice

[@apoorvmodak3579]

would have understood better with graphical representations

[@aviadedell4826]

The argument of sin should be omega*t, not 2*pi*t( i see now you divided by the period)

[@pirate0bloodyskull]

noob