… constrained recursive least M-estimate (CRLM) algorithm by introducing the MHF into the cost
function of CRLS, which is robust to impulsive noise. … Recursive constrained adaptive filter …

… noise, a robust recursive least M-estimate adaptive filtering … product to decompose the
acoustic impulse response. Two M-… of the adaptive filter, leading to a class of numerically stable …

… in Gaussian noise. The focus of this work is also on the frequency-domain adaptive filters. In
… , such as keyboard clicking sounds, noise yielded from footsteps, a telephone ringing, door …

… outliers and high robustness to impulsive noises. However, it … The tacking and steady-state
performances of the M-estimate … In [14], the RLM algorithm presents some decreased tacking …

… impulse noise ability of the BS-PNLMS algorithm, using the anti impulse noise characteristics
of the M-estimate … , and TS Ng, “A recursive least M-estimate (RLM) adaptive filter for robust …

… recursive least M-estimate (RLM) algorithm, which behaved like the RLS algorithm but had
good robustness against impulsive noise… As the adaptive filters work in nonstationary systems…

… improves the convergence is the recursive least square (RLS) … The first RLS family of
algorithms, the recursive least square (… filter was later introduced in [47], [48] and an RLS lattice …

… Zou, “A recursive least M-estimate algorithm for robust adaptive filtering in impulsive noise:
Fast algorithm and conver… Ng, “A recursive least m-estimate (RLM) adaptive filter for robust …

… from the M-estimate and maximum correntropy robust criteria … and we set the length of the
adaptive filters as the same of the … Ciochina, “A robust variable forgetting factor recursive least-…

… recursive least M-estimate (RLM) algorithm was proposed by introducing the M-estimator of
the error signal [4]; it not only shows good robustness against impulsive noises… adaptive filter. …