Let N(t) be a Poisson point process with parameter À > 0. Define {X(t)}t>o to be the random process that takes ±1 values such that P(X(0) = 1) = P(X(0) = − 1) = ½, and X(t) changes the polarity when N(t) increases, i.e., X(t) = (−1)N(¹) X (0). (a) Show that such a process is WSS by showing that E[X(t)] = 0 for all t and E[X(t₁)X(t₂)] = e-2x|t1-t₂l hint 1: X(t₁)X(t₂) = 1 or −1 depending on N(t₂) —– N(t₁) being even or odd, respectively. hint 2: for any (positive or negative) real number a, eª = (b) Find the PSD of X(t). (c) Suppose that we use an ideal low-pass filter with the frequency response H(f) = filter X(t) and obtain the random process Y(t). Find the average power of Y(t), i.e., E[Y²(t)]. [₁ |f|<1 |f|≥1 to

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. Let N(t) be a Poisson point process with parameter d > 0. Define {X(t)}t>o to be the random process
that takes +1 values such that P(X(0) = 1) = P(X(0) = –1) = }, and X(t) changes the polarity
when N(t) increases, i.e., X(t) = (-1)N()X(0).
%3D
(a) Show that such a process is WSS by showing that E[X(t)] = 0 for all t and E[X(t1)X(t2)] =
hint 1: X(t1)X(t2) = 1 or –1 depending on N(t2) – N(t1) being even or odd, respectively.
hint 2: for any (positive or negative) real number a, eª = Eo
(b) Find the PSD of X(t).
1 [f|< 1
(c) Suppose that we use an ideal low-pass filter with the frequency response H(f) =
to
|0 ]f| >1
filter X(t) and obtain the random process Y(t). Find the average power of Y (t), i.e., E[Y²(t)].
Transcribed Image Text:. Let N(t) be a Poisson point process with parameter d > 0. Define {X(t)}t>o to be the random process that takes +1 values such that P(X(0) = 1) = P(X(0) = –1) = }, and X(t) changes the polarity when N(t) increases, i.e., X(t) = (-1)N()X(0). %3D (a) Show that such a process is WSS by showing that E[X(t)] = 0 for all t and E[X(t1)X(t2)] = hint 1: X(t1)X(t2) = 1 or –1 depending on N(t2) – N(t1) being even or odd, respectively. hint 2: for any (positive or negative) real number a, eª = Eo (b) Find the PSD of X(t). 1 [f|< 1 (c) Suppose that we use an ideal low-pass filter with the frequency response H(f) = to |0 ]f| >1 filter X(t) and obtain the random process Y(t). Find the average power of Y (t), i.e., E[Y²(t)].
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