For each of the following, determine whether or not the random process is
i. Wide-sense stationary.
ii. Mean ergodic.
(a) x(n) = A where A is a random variable with probability density function fA(α).
(b) x (n) = A cos(nw0) where A is a Gaussian random variable with mean m A and variance σ2A.
(c) x(n) = A cos(nw0 + ) where is a random variable that is uniformly distributed between -n and n.
(d) x(n) = A cos(nw0 ) + B sin(nw0) where A and Bare uncorrelated zero mean random variables with variance a 2 •
(e) A Bernoulli process with Pr{x(n) = 1} = p and Pr{x(n) = -1} = 1 - p.
(f) y(n) = x(n) - x(n - 1) where x(n) is the Bernoulli process defined in part (e).