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But what is the Fourier Transform? A visual introduction.

3Blue1Brown16 HN recommenders · recommended in 15 months, 2018–2025
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explainer · intro · evergreen · 2018–2025 on HN

3Blue1Brown's animated visual introduction to the Fourier Transform, showing how a signal breaks into frequency components.

HN's default recommendation for understanding the Fourier transform intuitively; many say it was the explanation that made it click.

12 comments from Hacker News

@garbageman2025-10 · in “How the cochlea computes (2024)”

It's an absolutely brilliant bit of maths that breaks a complex waveform into the individual components. Kind of like taking an orchestral song and then working out each individual instrument's contribution. Learning about this left me honestly aghast and in shock that it's not only possible but that someone (Joseph Fourier) figured it out and then shared it with the world. This video does a great job explaining what it is and how it works to the layman. 3blue1brown - ▶ this video

Strongly recommends View on HN
@TimSchumann2023-12 · in “3Blue1Brown Calculus Blog Series”

Grant makes some amazing content. His visualization of the Fourier Transform[1] actually enabled me to understand the how it was happening behind the what was happening with one of the most used algorithms in computing. [1] ▶ this video

Strongly recommends View on HN
@sjaak2023-01 · in “Ask HN: Concepts that clicked only years after you first encountered them?”

This is what made it click for me, can recommend it: 3Blue1Brown -- But what is the Fourier Transform? A visual introduction. ▶ this video

Strongly recommends View on HN
@SJSque2022-11 · in “Demystifying Fourier analysis”

I can also highly recommend 3Blue1Brown's treatment of the topic: ▶ this video (...which I see now is cited in the video that you link to!)

Strongly recommends View on HN
@faebi2021-11 · in “Ask HN: Videos that changed your life or how you think”

I never understood how multiple electrical frequencies can be in a copper cable. I always thought they must merge and therefore it must be impossible to find the right set of original frequencies and their strength. Then I learned about the Fourier transform in this beautiful video: ▶ this video

Strongly recommends View on HN