Extracting non-linear features for signal compression.

is evolving beyond linear filters. By integrating Kernel Methods , we can now map signals into high-dimensional spaces to solve complex, non-linear problems that traditional DSP struggles to handle . ⚡ The Core Concept

Solve non-linear problems using linear geometry in that new space.