This research work uses nonlinear kernel adaptive filtering to eliminate echo, a type of voice
that is undesirable and communicated over the microphone. Adaptive filters enable the …

Kernel adaptive filter armed with information theoretic learning has gained popularity in the
domain of time series online prediction. In particular, the generalized correntropy criterion …

Kernel-based online classification algorithms, such as the Perceptron, NORMA, and passive-
aggressive, are renowned for their computational efficiency but have been criticized for slow …

In this paper, we propose an efficient structure of the kernel recursive least squares (KRLS)
adaptive filters for implementing with low and fixed amount of computational complexity. The …

An efficient implementation of the kernel affine projection algorithm Page 1 An efficient
implementation of the kernel affine projection algorithm Felix Albu, Dinu Coltuc, Marius Rotaru …

In this paper, we propose a method to lower the variance of the coefficients of the LMS-type
adaptive filters in the noisy environments. In the method, each coefficient of the adaptive …

With the rapid evolution of digital communication systems and channels identification; there
is a significant interest in the finite impulse response (FIR) filter theory, which has strong …

In this paper, we propose a novel structure for implementing a kernel adaptive filter as an
add-on component for a linear adaptive filter. The kernel adaptive filter has been proposed …

Nonlinear acoustic echo cancellation (NAEC) aims at estimating both the acoustic impulse
response and the nonlinearities affecting the desired signal. Both the modeling processes …

In this paper, an adaptive adjustment method for the kernel parameter used in the kernel
adaptive filters (KAFs) is proposed. The KAF is one of the linear-in-the-parameters (LIP) …