Consider two random processes X(t) and Y(t) defined as
X(t)=Acos(wot+z), Y(t)=Bsin(wo+z)
where A and B and wo are constants and z is a random variable that is uniformly distributed between 0 and 2pi. find the cross-correlation function of X(t) and Y(t). If both X(t) and Y(t) were wide sense stationary , could they also be jointly wide sense stationary?
Consider two random processes X(t) and Y(t) defined as X(t)=Acos(wot+z), Y(t)=Bsin(wo+z) where A and B and...
,Two random processes are defined by Y(t)-X(t) cos(wot) where X(t) and Y(t) are jointly wSs. a) If θ is a constant (non-random), is there any value of θ that will make Yl(t) and Y(t) orthogonal? b) if θ is a uniform r.v., statistically independent of x(t) and Y(t), are there any conditions on θ that will make Yı(t) and Y2(t) orthogonal? ,Two random processes are defined by Y(t)-X(t) cos(wot) where X(t) and Y(t) are jointly wSs. a) If θ is...
Let x(t) = Acos(27/0t + ?) where fo is a given constant, A is a Rayleigh random variable with ? is a uniformly distributed random variable on [0, 2n, and A and ? are statistically independent. a) Find the mean E[X (t)h b) Find the autocorrelation function E(X(t)X(t+)). c) Is (X(t)) wide-sense stationary? d) Find the power spectral density Sx(f)
Suppose V is a zero-mean Gaussian random variable, and define the random processes X(t) = Vt and Y(t) = V2t for −∞ < t < ∞. a)Find the crosscorrelation function for these two random processes. b)Are these random processes jointly wide-sense stationary?
Suppose V is a zero-mean Gaussian random variable, and define the random processes X(t) = Vt and Y(t) = V2t for −∞ < t < ∞. a)Find the crosscorrelation function for these two random processes. b)Are these random processes jointly wide-sense stationary?
A(t) is a wide-sense stationary random process and is a random variable distributed uniformly over [0, 211]. Furthermore, is independent of A(t). Three random processes X(t), Y(t), and Z(t) are given by X(t) = A(t) cos(20ft + 0) Y(t) = A(t) cos(507t + 0) z(t) = X(t) + y(t) a. Show that X(t) and Y(t) are stationary in the wide sense. b. Show that Z(t) is not stationary in the wide sense.
and is X(t) a WSS process? 6.11 Sinusoid with random phase. Consider a random process x(t)-A cos(wot + ?), where wo are nonrandom positive constants and o is a RV uniformly distributed over A and (0, ?), i.e., ? ~11(0, ?). (a) Find the mean function 2(t) of X(t).
t + τ Proof From Definition 10.17, RİT (r) yields Rn(t) = Elx()r(t + τ)]. Making the substitution u Since X(0) and Y(O) are jointly wide sense stationary, Ryr(u, -t for random sequences Rx-r). The proof is similar i: 10.11X(t) is a wide sense stationary stochastic process with autocorrelation function Rx(r). (2) Express the autocorrelation function of Y(C) in terms of Rx(r) Is r) wide sense (2) Express the cross-correlation function of x(t) and Y (t) in terms of Rx(t)...
7.3-2. A random process is given by W(t) = AX(t) + BY(1) where A and B are real constants and X(t) and Y(t) are jointly wide-sense stationary processes. (a) Find the power spectrum S www) of W(t). (b) Find S www if X(t) and Y(t) are uncorrelated. (c) Find the cross-power spectrums S xw(w) and S yw(w).
Three random variables A, B, and C and 1. The random processes X(t) and Y (t) answer the questions below. (24 points) independent identically distributed (id) uniformly between are defined by the given equations. Use this information to are X(t) = At + B Y(t) = At + C (a) Find the autocorrelation function between X(t) and Y(t) (b) Find the autocovariance function between X (t) and Y(t). (c) Are X(t) and Y(t) correlated random processes? Three random variables A,...
A random process has a sample function of the form: Where: Y and are constants (NOT random variables) and is a random variable that is uniformly distributed between 0 and . Find: the mean value, the mean square value and variance of Show that the random process is wide-sense-stationary (wss) and its auto correlation depends only on which is the difference in time between and foe a give waveform