Mean, Autocorrelation, and Pdf
Case Study: Maximizing Profits from Sales of Soft Drinks
July 9, 2019Telemarketing: interaction of time and position, pairwise, T
July 9, 2019Let X(t) be a zero-mean wide-sense stationary Gaussian white noise process with autocorrelation function RXX(τ) = δ(τ). Suppose that X(t) is the input to a linear time-invariant system with an impulse response h(t) = 1[0,T](t) where T > 0. Let Y(t) be the output of the system, and assume that the input has been applied to the system for all time. What is the meanof Y(t)? What is the autocorrelation function of Y(t)? What is the expression for the second-order pdf fY(t1)Y(t2)(y1,y2) of Y(t)? Under what conditions on t1 and t2 will Y(t1) and Y(t2) be statistically independent?
See the attached file.
The solution determines the mean, autocorrelation and pdf.
