Plotting the Fourier Transform in Python (DFT/FFT)

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Published 2023-09-22

#Electrical Engineering #Engineering #Signal Processing #python #fourierseries #fouriertransform #fourier
In this video, I'l explain how we can use python to plot the (Discrete) Fourier Transform of signals. I'll explain how we can use FFTShift in Numpy to rearrange the Fourier Transform so negative frequencies are on the left and positive frequencies are on the right.

Here is a link to the Python Notebook to follow along: www.dropbox.com/scl/fo/0uw6r1yj2ei6740a0i2cr/h?rlk…

All Comments (9)

@acelaox6836 8 months ago

Thank you so much now I didn't know about fftshift in numpy till today!
@starx8771 1 month ago

This was so helpful, thank you so much!
@idreeskhan-zp5ey 4 months ago

Thnak You!
@angeloc700 7 months ago

Nice video. As a suggestion, if you turned the VS autocomplete dialogues off, I’m sure the viewer’s experience would be much better; it’s very difficult to focus on what you’re saying and typing when modal boxes are popping up and changing all over the place.
@anonymousguy438 7 months ago

How to know what are the different frequencies which constructs your main signal? I am asking about the frequency values not its amplitude.
@adityanagarkar4326 3 months ago

Here you have sampled the signal at intervals of 1. what if I want to sample it at a higher frequency?
@imk820 9 months ago

Hi can I ask you a question?
@yabool2001 1 month ago

Hi Paul. Why do you call DFT in the title when you don't show DFT at all in this video? The DFT operates exclusively on discrete sets of data and produces a spectrum comprising discrete frequency components.