A blocked proportionate normalized maximum correntropy criterion (PNMCC) is presented
to improve the estimation behavior of the traditional maximum correntropy criterion (MCC) …

As a robust nonlinear similarity measure, the maximum correntropy criterion (MCC) has
been successfully applied to active noise control (ANC) for impulsive noise. The default …

Constrained adaptive filtering algorithms have been extensively studied in many
applications. Most existing constrained adaptive filtering algorithms are developed under the …

A soft parameter function penalized normalized maximum correntropy criterion (SPF-NMCC)
algorithm is proposed for sparse system identification. The proposed SPF-NMCC algorithm …

Recently, the constrained adaptive filtering algorithms with strong robustness to non-
Gaussian noise have been widely studied. Among them, the robust constrained least mean …

A general zero attraction (GZA) proportionate normalized maximum correntropy criterion
(GZA-PNMCC) algorithm is devised and presented on the basis of the proportionate-type …

A kernel affine projection-like algorithm (KAPLA) is proposed in reproducing kernel Hilbert
space in non-Gaussian environments. The cost function for the developed algorithm is …

This paper proposes a bias-compensated normalized maximum correntropy criterion
(BCNMCC) algorithm charactered by its low steady-state misalignment for system …

In nonlinear active noise control (ANC) system where the primary noise obeys non-
Gaussian distribution, the traditional filter-s least mean square (FsLMS) algorithm is hardly …

The Volterra series consists of a powerful method for the identification of non-linear
relationships. However, the identification of the series active basis sets requires intense …