Description: Digital signal processing, LMS and RLS instance: Given a sinusoidal signal s (n), now we get the data have affected x (n) = s (n)+ v (n), v (n) 1.25 for the variance Notice the white noise signal, to design a filter so that the output and s (n) The minimum mean square error, and gives the algorithm with the LMS and RLS adaptive method for solving the MATLAB simulation.
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LMS.M
RLS.M
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