Digital Signal Processing With Kernel Methods -

Better performance in "real-world" environments with non-Gaussian noise.

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

Using for EEG/ECG pulse recognition. Differentiating noise from complex biological signals. Denoising & Regression Digital Signal Processing with Kernel Methods

Traditional DSP relies on and stationarity . Kernel methods break these limits by using the "Kernel Trick" : Digital Signal Processing with Kernel Methods