A) If a sum random process is defined as $X[n] = \sum_{i=0}^{n} U[i]$ for $n \ge 0$, where \newline $E[U[i]] = 0$ and $var(U[i]) = \sigma_{u}^{2}$ for $i \ge 0$ and the $U[i]$ are IID, find the mean \newline and covariance sequences of $X[n]$.
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The mean of a random process is defined as the expected value of each random variable in the process. In this case, we have X[n] = E=0 U[i], so the mean of X[n] is the expected value of E=0 U[i]. Since EU[i] = 0 for i ≥ 0, the expected value of each U[i] is also Show more…
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