Multiplication-free adaptive filters

Convergence analyses of two adaptive filter structures that require no multiplications for their implementation are presented. Under the assumption that primary and reference inputs to the adaptive filters are zero mean, wide-sense stationary, and Gaussian random processes, expressions are derived for the mean and mean-squared behavior of the filter weight vector using a variety of simplifying assumptions. Results of some computer simulation experiments are presented