3 docs tagged with "signal-processing"

Discrete Fourier Transform, Fast Fourier Transform, power spectrum, frequency-domain features, and Fourier-based positional encodings in transformers. Essential for audio ML, IoT, and sequence model design.

SciPy for machine learning - optimisation, sparse matrices, statistical distributions, signal processing, and distance metrics.

Continuous and discrete wavelet transforms, mother wavelets, multiresolution analysis, wavelet denoising, and connections to WaveNet and modern audio neural networks. Simultaneous time-frequency analysis beyond Fourier.