Digital Signal Processing With Kernel Methods -

Extracting non-linear features for signal compression.

Bridges the gap between classical signal theory and modern Machine Learning . Digital Signal Processing with Kernel Methods

Traditional DSP relies on and stationarity . Kernel methods break these limits by using the "Kernel Trick" : Extracting non-linear features for signal compression

Solve non-linear problems using linear geometry in that new space. Digital Signal Processing with Kernel Methods