| Communications Toolbox | |
If the guess for the kth value of the signal x, based on earlier values of x, is
y(k) = p(1)x(k-1) + p(2)x(k-2) +...+ p(m-1)x(k-m+1)+ p(m)x(k-m)
then the corresponding predictor vector for toolbox functions is
predictor = [0, p(1), p(2), p(3),..., p(m-1),p(m)]
Note The initial zero in the predictor vector makes sense if you view the vector as the polynomial transfer function of a finite impulse response (FIR) filter. |
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