Consider the adaptive predictor shown in Figure P13.16. (a) Determine the quadratic pe...

Consider the adaptive predictor shown in Figure P13.16.

(a) Determine the quadratic performance index and the optimum parameters for the signal

(b) Generate a sequence of 1000 samples of x(n), and use the LMS algorithm to adaptively obtain the predictor coefficients. Compare the experimental results with the theoretical values obtained in part (a). Use a step size of

(c) Repeat the experiment in part (b) for N = 10 trials with different noise sequences, and compute the average values of the predictor coefficients. Comment on how these results compare with the theoretical values in part (a).

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