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