Question: Prove the additional properties (a) through (l) of the prediction- error filters given in section11.4 (a) E[ fm (n)x (n -i)] = 0, 1sism (b)

Prove the additional properties (a) through (l) of the prediction- error filters given in section11.4 (a) E[ fm (n)x (n -i)] = 0, 1sism (b) E[gm (n)x(n

(a) E[ fm (n)x (n -i)] = 0, 1sism (b) E[gm (n)x(n - )) = 0, 0sism -1 (c) E[fm(n)x(n)] = E[&m{n)x{n - m)] = Em (d) E[f(n)f,(n)] = Emax (i, j) i > j 1 j i < j 0 j isj

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