To aid in the search for better adaptive filter structures, a method is presented to obtain the
gradients required to adapt general state-space filters. Unfortunately, the number of …

It is shown how different structures of an adaptive filter lead to a change in the characteristics
of the corresponding error surface and, consequently, to a change in the corresponding …

It is proposed that the convergence factor mu in the adaptive filter can be made time-varying
according to the gradient of the performance surface. Computer simulations show that when …

This paper deals with the behavior of adaptive FIR filters in cascade form. The cascade
filters are investigated with simulations and analysis. The results and methods for the …

For an adaptive filter with N adjustable coefficients or weights, the" error surface" is a plot, in
N+ I dimensions, of the mean-squared error versus the N coefficient values. If the adaptive …

Analogue adaptive filters represent an important niche in adaptive-filter theory and practice.
The paper provides an overview of the field. Important adaptive algorithms, filter structures …

Conventional gradient-type adaptive filters use the fixed convergence factor μ which is
normally chosen to be the same for all the filter parameters. In this paper, we propose to use …

This paper presents an approach for implementing continuous-time adaptive recursive
filters. The resulting filters should be capable of operating on much higher signal …

How adaptive algorithms can be applied to low-sensitivity digital filter structures is shown.
The considered structure is derived by a bilinear transformation of an analog doubly …

An overview is presented of several methods, filter structures, and recursive algorithms used
in adaptive infinite-impulse response (IIR) filtering. Both the equation-error and output-error …