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

Software quality models can predict the risk of faults in modules early enough for cost-
effective prevention of problems. This paper introduces the fuzzy nonlinear regression (FNR) …

This paper is concerned with systems in which the output error of an adaptive IIR filter is
subsequently filtered, eg, an active noise control system where a transfer function models …

In this paper, a fast approximate inverse-power (AIP) iteration is applied to compute
recursively the total least squares (TLS) solution for unbiased equation-error adaptive …

We present a novel may to remove the bias in equation-error based adaptive infinite impulse
response (IIR) filtering by conceiving a scheme called monic normalization. It is found that …

This paper presents a homotopy approach to improving PEM identification of ARMAX model.
PEM estimates of ARMAX model parameters are determined as the global minimum of …

In comparison with adaptive finite impulse response (FIR) filters, adaptive infinite impulse
response (IIR) filters offer the potential to implement an adaptive filter meeting desired …

This paper proposes a new adaptive IIR filtering algorithm based on equation error (EE)
formulation. The algorithm allows for the compensation of the bias inherent to the equation …

Adaptive infinite-duration impulse response (IIR) filters have been studied as a possible
alternative to adaptive finite-duration impulse response (FIR) filters. Two of the best known …

We present a new family of algorithms that solve the bias problem in the equation-error
based adaptive infinite impulse response (IIR) filtering. A novel constraint, called the …