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In kernel adaptive filters (KAFs), feedback network can lead to performance improvement from the aspects of estimation accuracy and convergence rate. In this brief, a novel feedback structure is developed and applied to the kernel recursive least squares (KRLS), generating the KRLS with multiple feedback (KRLS-MF). In the proposed KRLS-MF, multiple previous outputs are utilized to update the structure...
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