Convex Combination Recursive Even Mirror Fourier Nonlinear Filter for Nonlinear Active Noise Control

This paper proposes an improved recursive even mirror Fourier nonlinear filter via a convex combination of feedforward and feedback subsections for nonlinear active noise control (NANC). This proposed convex combination filter and associated algorithm can alleviate the compromise between convergence speed and steady state error. Simulations validate that the proposed convex combination filter equipped with the associated algorithm exhibits satisfied convergence speed and steady-state error.