A tutorial-style framework is presented for understanding the current status of adaptive
infinite-impulse-response (IIR) filters. The paper begins with a detailed discussion of the …

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 …

Adaptive IIR (infinite impulse response) filters are particularly beneficial in modeling real
systems because they require lower computational complexity and can model sharp …

Several parallel-form adaptive IIR (infinite impulse response) filters are presented, including
a frequency-domain implementation based on the discrete Fourier transform and a recursive …

It is shown that the weak convergence results of A. Benveniste et al.(IEEE Trans. Automat.
Contr., vol. AC-25, p. 1042-58, Dec. 1980) can be used to prove convergence of some …

Although adaptive filtering and adaptive array processing began with research and
development efforts in the late 1950's and early 1960's, it was not until the publication of the …

Integrates rational approximation with adaptive filtering, providing viable, numerically
reliable procedures for creating adaptive infinite impulse response (IIR) filters. The choice 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 …

A generalized normalized gradient descent (GNGD) algorithm for linear finite-impulse
response (FIR) adaptive filters is introduced. The GNGD represents an extension of the …

A family of stochastic approximation variants of the Steiglitz-McBride identification scheme
[1]-[3] is developed for adaptive IIR filtering. Parameter convergence is shown by computer …