Normalized LMS Algorithm e(n) =d(n) y(n) =d(n) w(n) T u(n) w(n +1)=w(n)+µu(n)e(n) Modify at time n the parameter vector from w(n) tow(n +1) n =0, 1, 2., fulfilling the constraint w T (n +1)u(n) =d(n) with the least modification of w(n), i.e. 1 1 Standard LMS Algorithm FIR filters: Lecture 5: Variants of the LMS algorithm y(n) = w 0 (n)u(n)+w 1 (n)u(n 1) w M 1 (n)u(n M +1) = M 1 k=0 w k (n)u(n k) =w(n) T u(n), Error between filter output y(t) and a desired signal d(t): Change the filter parameters according to 1.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |