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Formal Sciences
Mathematics
1822
Advanced

Fourier Transform

f^(ξ)=f(x)e2πixξdx\hat{f}(\xi) = \int_{-\infty}^{\infty} f(x)\, e^{-2\pi i x \xi}\, dx

Decomposes any signal into its constituent frequencies—revealing the hidden spectrum within data.

By Joseph Fourier

Formal Sciences
Fourier Transform
1822 · Joseph Fourier
Expert Reviewed
89%

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Why it matters: Foundation of modern telecommunications, imaging, audio, and data compression.

Discoverers: Joseph Fourier (1822)

What does it mean?

Decomposes any signal into its constituent frequencies—revealing the hidden spectrum within data.

Why should I care?

Foundation of modern telecommunications, imaging, audio, and data compression.

Equation Compass

North — Prerequisites

West — History

South — Derivations

Variables & Units

SymbolNameUnitMeaning
f(x)f(x)SignalTime-domain function
ξξFrequencyHzFrequency variable
f^(ξ)f̂(ξ)SpectrumFrequency-domain representation

Worked Example

A pure tone sin(2πft) transforms to peaks at ±f in frequency domain.

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Pictures & video

Portrait of Joseph Fourier
Joseph Fourier, whose analysis of heat flow gave us the Fourier transform.Wikimedia Commons · Public domain

But what is the Fourier Transform? A visual introduction

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Equation Universe

Fourier Transform

f^(ξ)=f(x)e2πixξdx\hat{f}(\xi) = \int_{-\infty}^{\infty} f(x)\, e^{-2\pi i x \xi}\, dx

Real-world impact

JPEG, MP3 & 5G

Frequency decomposition compresses media and shapes wireless signals.

Photo: Unsplash — data center

Decomposes any signal into its constituent frequencies—revealing the hidden spectrum within data.

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