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Let x [ n ] = 0 . 9 x [ n - 1 ] + u [ n ] , where u [ n

Let x[n]=0.9x[n-1]+u[n], where u[n] is white, zero-mean r.p. with variance 1.
(a) Is x[n] a wide-sense stationary r.p.? Explain.
(b) Determine the auto-correlation function of x[n].
(c) Determine the first order LMMSE predictor for x[n](hat(x)[n]=ax[n-1]).
(d) Given a realization of u[n]={ubrace(1ubrace)n=0,0,-1,2,0}. Obtain the corresponding re-
alization of x[n]. Assume x[-1]=0.
(e) Estimate x[5] using the predictor obtained in part (c) and from the predictor ob-
tained from the data in (d). Compare the results of the two predictors.
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