A decision feedback equalizer (DFE) containing a feedback filter with both poles and zeros
is proposed for high-speed digital communications over the subscriber loop. The feedback …

This paper presents an almost sure mean-square performance analysis of an adaptive
Hammerstein filter for the case when the measurement noise in the desired response signal …

T. Soderstrom and P. Stoica (1988) have previously discussed three algorithms: the Steiglitz-
McBride method (SMM), the recursive gradient method (RGM), and the instrumental variable …

A recently developed adaptive IIR (infinite impulse response) filtering algorithm is used to
implement an adaptive IIR echo canceller. The simplicity and the proved convergence of the …

Rational models have been studied as a tractable attempt to account for frequency
dependencies using a finite parameter description. In this context, the following problem is …

This paper presents global stability of the adaptive IIR filter in a nonstationary environment.
For the estimation of time-varying parameters, the normalized least-mean-square (LMS) …

The feedback lattice filter forms, including the two-multiplier form and the normalized form,
are examined with respect to their relationships to the feedback direct form filter. Specifically …

The authors investigate the global convergence phenomenon of the Steiglitz-McBride
adaptive identification/filtering method (SMM) observed previously under reduced order …

An ordinary differential equation (ODE) approach is used to study the focal convergence
speed of adaptive IIR filtering and system identification algorithms of various structures: the …

In this brief, we develop a least mean square (LMS) algorithm that converges in a statistical
sense to the global minimum of the mean square error (MSE) objective function. This is …