Spline nonlinear adaptive filters are well known for their ability to efficiently model nonlinear
systems while having low computational complexity. However, the performance of traditional …

We propose a new linear-in-the-parameters (LIP) nonlinear filter based on kernel methods
to address the problem of nonlinear acoustic echo cancellation (NAEC). For this purpose we …

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 …

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) …

Multikernel adaptive filtering is an attractive nonlinear approach to online estimation/tracking
tasks. Despite its potential advantages over its single-kernel counterpart, a use of …

In this paper, we propose a method which enables us to control the variance of the
coefficients of the LMS-type adaptive filters. In the method, each coefficient of the adaptive …

Regularization by the ℓp-norm (0< p< 1) has been regarded as an attractive approach of
sparse optimization, since (i) the ℓp-norm is a better approximation of the ℓ0-norm (the …

Este trabalho estuda o funcionamento do filtro de Kalman, assim como sua aplicação na
estimação de sistemas lineares e não lineares. Inicialmente são deduzidas as equações do …