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This paper proposes a new algorithm, which uses an optimal step size (OSS) weight adjustment scheme. This strategy leads to a better convergence rate and misadjustment in environments with sudden changes of parameters and for colored input data. The computational complexity is comparable with the well known RLS. The performance of the novel approach is verified by simulations under system identification...
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