Ever wondered why some sounds change pitch while others stay constant?
Wavelet transform
Ever wondered why some sounds change pitch while others stay constant?
Imagine you're listening to a song on your phone. The beat suddenly shifts, and the melody seems to change its character. Why does this happen?
Think of the song as a wave. Traditional methods can't easily tell us how this wave changes over time. Wavelet transforms, however, can dissect this wave into smaller pieces, helping us understand its shifting nature.
Example
If the song's wave shifts its peak from 2 seconds to 3 seconds, wavelet transforms can pinpoint this change more precisely than traditional methods.
Remember this
Wavelet transforms allow us to see and analyze changes in signals over time, which traditional methods struggle with.
Text adapted from Wikipedia, licensed under CC BY-SA 4.0.
Related concepts
wavelets provide over Fourier: both time and frequency localization
Wavelets provide both time and frequency localization, unlike Fourier transforms which offer only frequency localization
Glossary of engineering: A–L
Can you hear colors?
Short-time Fourier transform
STFT divides a signal into shorter segments for analysis
the mel scale is: a nonlinear frequency scale that models human pitch perception
Ever wondered why some songs sound the same even if they're in different keys?
mel-frequency cepstral coefficients (MFCCs) capture: speech features on a perceptual scale
Ever wondered how your phone compresses voice calls without losing quality?
AI content watermarking
AI content watermarking embeds imperceptible signals
Swipe through 100 ML concepts daily
Open Pocket Polymath