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In this paper we present state-space recursive least-squares (SSRLS) filter. This algorithm is a new addition to the family of RLS filters. We cover core topics like batch processing, recursive updates, initialization and steady state solution, etc. SSRLS is very well-suited to estimate a wide class of deterministic signals corrupted by observation noise. This new filter exhibits excellent tracking...
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