Adaptive RLS filtering under the cyclo-stationary regime
نویسنده
چکیده
We present a methodology for adaptive ltering and system identi cation under the cyclostationary regime. Our technique is based on a deterministic periodic least-squares criterion, and gives rise to adaptive periodic recursive-least-squares (P-RLS) algorithms. Furthermore, we show that every adaptive RLS algorithm has a P-RLS counterpart, which has exactly the same architecture and the same performance attributes, and di ers only in the length of the delay used in its timeupdate recursions.
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