The short-time Fourier transform (STFFT)

This video lesson is part of a complete course on neuroscience time series analyses.
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[mudassir_khan]

Hands down this is the best tutorial for STFFT.

[robertsutherland]

You're an incredibly talented teacher!

[ariffaridi]

Thank you, Sir, for making such lectures available for all.

[emmanuelasante]

Infact, your videos are really good. They make you understand the course. Please do you have any videos on the inversion formula for awindowed Fourier Transform?

[liweihua]

Wow! I like this! Highly recommended. Thanks!

[Antagon]

Hey, is there way of improving precision of the FFT without increasing computational complexity ? My problem is that the half of the FFT window results are only complex conjugates, meaning the resolution is halved, because useful frequencies are really only in the first half...

[SAURAVPATHAK]

Thanks for such a good explanation. I have a doubt. How do we plot overlapping windows? Do we place them side by side but that would increase the length of time axis or take average/weighted average of two adjacent windows for getting power spectra of the common region of two overlapping windows? Kindly explain

[aytraf]

Thanks for the videos! I'm curious, what do you do your plots with? I love the color palette!

[harishlakshmanapathi]

Loved your video man. I just have one doubt at 5:55 the figure on the right is actually Multiple Resolution STFT right? Where I can have multiple resolutions for different frequency bands?

[tobi]

Why is "attenuation" of the window required? I simply applied the FT on "square windows" but then I realised everyone else would apply some window function, like the hanning function. How does it improve the accuracy?

[keeper]

Ok, make Time Overlap is easy, but how to do Frequency Overlap?