
Can you hear colors?
Image: Jahobr, CC0, via Wikimedia Commons
Can you hear colors?
Imagine you're at a concert, and you want to know which instruments are playing, but all you're getting is a mixed-up sound.
Think of a sound wave as a complex dance. Each instrument at the concert has its own unique dance move. The Fourier Transform is like a dance instructor who can break down the mixed-up dance into individual moves.
Example
If the mixed dance moves up and down quickly, it might be a flute. If it moves slowly and smoothly, it could be a cello.
Remember this
The Fourier Transform helps us identify individual instruments in a mixed-up sound by breaking it down into its unique frequency patterns.
Text adapted from Wikipedia, licensed under CC BY-SA 4.0.
Wavelet transform
Ever wondered why some sounds change pitch while others stay constant?
Short-time Fourier transform
STFT divides a signal into shorter segments for analysis
wavelets provide over Fourier: both time and frequency localization
Wavelets provide both time and frequency localization, unlike Fourier transforms which offer only frequency localization
Periodic function
How can we break down repeating patterns into simpler parts?
Convolution theorem
Ever wondered how mixing sounds is like mixing colors?
Fourier transform
Can you hear the hidden notes in a song?
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