This second edition of Adaptive Filters: Theory and Applications has been updated
throughout to reflect the latest developments in this field; notably an increased coverage …

In this paper, a solution is proposed to the long-standing problem of the numerical instability
of Fast Recursive Least-Squares Transversal Filter (FTF) algorithms with exponential …

In this paper, a new control mechanism for the variable forgetting factor (VFF) of the
recursive least square (RLS) adaptive algorithm is presented. The control algorithm is …

In order to mitigate the effect of additive noises and reduce the computational burden, we
propose a new computationally efficient cross-correlation based two-dimensional (2-D) …

The numerical properties of implementations of the recursive least-squares identification
algorithm are of great importance for their continuous use in various adaptive schemes …

The problem of evaluating the uncertainty that characterises discrete Fourier transform
output data is dealt with, using a method based on a 'white box'theoretical approach. The …

This paper presents a new statistical analysis of the affine projection (AP) algorithm. An
analytical model is derived for autoregressive (AR) inputs for unity step size (fastest …

This paper presents a statistical analysis of the filtered-X LMS algorithm behavior when the
secondary path (output of the adaptive filter) includes a nonlinear element. This system is of …

Two new improved recursive least-squares adaptive-filtering algorithms, one with a variable
forgetting factor and the other with a variable convergence factor are proposed. Optimal …

This paper studies the statistical behavior of the normalized subband adaptive filtering
(NSAF) algorithm. An accurate statistical model of the NSAF algorithm is obtained. In the …