Fast Transversal Recursive least-squares (FT-RLS) Algorithm
نویسنده
چکیده
In this paper a brief overview of the Fast Transversal Recursive Least-Squares (FT-RLS) algorithm is provided. This algorithm is designed to provide similar performance to the standard RLS algorithm while reducing the computation order. This is accomplished by a combination of four transversal filters used in unison. Finite precision effects are also briefly discussed. Simulations are performed with both algorithms to compare both the computational burden as well as the performance of both schemes for adaptive noise cancellation. Simulations show that FT-RLS offers comparable performance with respect to the standard RLS in addition to a large reduction in computation time for higher order filters.
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تاریخ انتشار 2007