Adaptive IIR algorithms based on high-order statistics

Recursive estimation algorithms are derived for moving-average and autoregressive moving-average processes. These algorithms can be used for adaptive infinite impulse response (IIR) filtering of non-Gaussian processes. The behavior of these algorithms is illustrated by extensive numerical examples. >