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 …

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 …

Recursive estimation algorithms are derived for moving-average and autoregressive moving-
average processes. These algorithms can be used for adaptive infinite impulse response …

This correspondence generalizes the Gauss-Newton algorithm [1] for adaptive IIR filters to
include complex coefficients. The resulting algorithm simultaneously updates the real and …

Specific implementations of the finite impulse response (FIR) block adaptive filter in the
frequency domain are presented and some of their important properties are discussed. The …

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 …

Generalized feedforward filters, a class of adaptive filters that combines attractive properties
of finite impulse response (FIR) filters with some of the power of infinite impulse response …

An algorithm for efficiently adjusting the coefficients of equation-error infinite impulse
response (IIR) adaptive filters is described. Unlike the recursive least squares (RLS) …

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 …

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