A stochastic gradient adaptive filter algorithm using a time-varying m
ixed criterion is proposed. The algorithm optimises a cost function ba
sed on an adaptively adjusted combination of the LMF and LMS functions
. Two different combination strategies are studied and sufficient conv
ergence conditions are presented. The time-varying nature of the cost
function adds flexibility and enables rapid response of the algorithm.