filtering in impulse noise. It employs an M-estimate cost function, which is able to suppress
the effect of impulses on the filter weights. Simulation results showed that the RLM algorithm
performs better than the conventional RLS, NRLS, and the OSFKF algorithms when the
desired and input signals are corrupted by impulses. Its initial convergence, steady-state
error, computational complexity, and robustness to sudden system change are comparable …