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

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 …

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 …

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

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

System identification (SI) is the task of specifying an unknown system's model in terms of the
available experimental evidence, that is a set of input-desired output response signal …

Among the various linear infinite impulse response (IIR) structures for adaptive filters,
cascade IIR filters are notable for easy stability monitoring and good sensitivity performance …

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 …

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 …