wavelets provide over Fourier: both time and frequency localization

Short-time Fourier transform

STFT divides a signal into shorter segments for analysis

Glossary of engineering: A–L

Can you hear colors?

sinusoidal position encoding works: each dimension has a different frequency

Sinusoidal position encoding assigns unique frequencies to each dimension, enabling the model to distinguish positions effectively

L1 vs L2 regularization: L1 gives sparsity (feature selection), L2 gives small weights

L1 regularization: L1 = L2 + sparsity; L2 regularization: L2 = L1 + small weights

AI content watermarking

AI content watermarking embeds imperceptible signals

Nyquist–Shannon sampling theorem

Sample at ≥ 2× the highest frequency to avoid aliasing