Question: In this problem, we develop an alternative derivation for the mean function of the shot noise process described in Section 8.7, Where the are the
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Where the are the arrival times of a Poisson process with arrival rate, λ, and h (t) is an arbitrary pulse shape which we take to be causal. That is, h (t) = 0 for t
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(a) Use the results of Exercise 8.40 to justify that
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Where the Xi are a sequence of IID random variables uniformly distributed over [0, t].
(b) Show that the expectation in part (a) reduces to
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(c) Finally, average over the Poisson distribution of the number of arrivals to show that
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x(t) = h(t-5), 71 ELXO n arrivals in [0,t)]-,)|n arivals in [0,) 2 E(X(t)ln arrivals in [0,t)] = E[h(t-X)], EL(n arrivals in [0, t)] =-[h(t-wdu . E(X(t)] = | h(t)dt.
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a The conditional mean function is E X t j n arrivals in 0t Using the results of Exerc... View full answer
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