When coping with the large outliers in measurement caused by the non-Gaussian
environmental noise, although the MCC criterion adopts the high-order statistics, the …

Numerous real-life systems exhibit complex nonlinear input-output relationships. Kernel
adaptive filters, a popular class of nonlinear adaptive filters, can efficiently model these …

This paper introduces the kernel recursive q-Rényi-like (KRqRL) algorithm, based on the q-
Rényi kernel function and the kernel recursive least squares (KRLS) algorithm. To reduce …

Recently, a nonlinear acoustic echo cancellation algorithm based on the framework of
kernel methods has been proposed by modeling the echo path as a Hammerstein system …

Due to the capability of supporting high-speed data communication with low energy cost,
visible light communication has emerged as a promising supplement to radio frequency …

In this paper, the kernel proportionate normalized least mean square algorithm (KPNLMS) is
proposed. The proportionate factors are used in order to increase the convergence speed …

In this paper, two new kernel adaptive algorithms are proposed. An approximation is used in
order to derive the pseudo kernel affine projection algorithm and the pseudo kernel …

In this chapter, the family of kernel affine projection algorithms with coherence criterion is
presented. The proportionality principle is translated to the kernel-based version. A new …

A proportionate affine projection like (PAPL-I) adaptive filtering algorithm is proposed that
incorporates the proportionate feature to affine projection like (APL-I) algorithm. Simulation …

In this paper, a fixed-budget implementation of the kernel proportionate normalized least
mean square (KPNLMS) algorithm using a variable step size scheme is proposed. The …