Stability for reduced-order identification is addressed. In particular, three system
identification/adaptive filtering algorithms-the Steiglitz-McBride method (SMM), the recursive …

In the last years several algorithms for adaptive IIR filters have been proposed. However,
their practical usage involves considerations such as finding the global minimum, possible …

A family of adaptive IIR filtering algorithms is proposed based on the Steiglitz-McBride
identification scheme. The algorithms are shown to be close approximations of one another …

The authors extend the LMS (least mean squares) adaptation algorithm to state-space
recursive filtering. Based on the state equations in the time domain, gradients for all …

The role of gradient-based FIR (finite impulse response) and IIR (infinite impulse response)
adaptive algorithms as candidates for adapting an active controller for acoustic noise where …

Characteristics of the mean-square error surface in adaptive digital filters determine how
well a gradient algorithm performs within a given filter structure, ie, if the surface has steep …

Several algorithms for adaptive IIR (infinite impulse response) filters have been proposed.
However, their practical use involves considerations such as finding the global minimum, the …

Recently, results from the area of system identification concerning the concept of system
hyperstability have been applied to the analysis of adaptive filtering configurations. In …

With the objective to develop practically usable IIR adaptive filtering algorithms, this
dissertation focuses on the development of IIR adaptive algorithms in the lattice filter …

In this communication we discuss an example that has appeared in two recent articles [1],[2],
in terms of a sequential regression formulation. The example concerns the approximation of …