0 0 votes Consider a random process $X(t) = \sqrt{2}\sin(2\pi t + \varphi),$ where the random phase $\varphi$ is uniformly distributed in the interval $[0,2\pi].$ The auto-correlation $E[X(t_{1})X(t_{2})]$ is $\cos(2\pi(t_{1} + t_{2}))$ $\sin(2\pi(t_{1} - t_{2}))$ $\sin(2\pi(t_{1} + t_{2}))$ $\cos(2\pi(t_{1} - t_{2}))$ Probability and Statistics gate2014-ec-1 probability-and-statistics statistics uniform-distribution correlation-and-regression-analysis + – Milicevic3306 430 views answer comment Share Follow Add Sync Questions Print 0 reply Please log in or register to add a comment.
0 0 votes $R_X(t_1, t_2) = E[\sqrt{2} \sin(2\pi t_1 + \phi) \cdot \sqrt{2} \sin(2\pi t_2 + \phi)]$$= 2 E[\sin(2\pi t_1 + \phi) \sin(2\pi t_2 + \phi)]$Using the identity $2 \sin A \sin B = \cos(A - B) - \cos(A + B)$:$= E[\cos(2\pi(t_1 - t_2)) - \cos(2\pi(t_1 + t_2) + 2\phi)]$Applying Expectation: Since $\phi$ is uniform over a full period $[0, 2\pi]$, the expectation of the second term $\cos(2\pi(t_1 + t_2) + 2\phi)$ is zero.Result: $E[X(t_1)X(t_2)] = \cos(2\pi(t_1 - t_2))$.Answer: D. $\cos(2\pi(t_1 - t_2))$ rashmi8303 answered Feb 4 rashmi8303 comment Share Follow 0 reply Please log in or register to add a comment.