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Exercise 5. Let X(t) be a WSS process with correlation function 1-Irl, if-1-1S1 0,otherwise. Rx(T) =...
Q1) Let X(t) be a zero-mean WSS process with X(t) is input to an LTI system with Let Y(t) be the output. a) Find the mean of Y(t) b) Find the PSD of the output SY(f) c) Find RY(0) -----------------...
Q1) Let X(t) be a zero-mean WSS process with X(t) is input to an LTI system with Let Y(t) be the output. a) Find the mean of Y(t) b) Find the PSD of the output SY(f) c) Find RY(0) ------------------------------------------------------------------------------------------------------------------------- Q2) The random process X(t) is called a white Gaussian noise process if X(t) is a stationary Gaussian random process with zero mean, and flat power spectral density, Let X(t) be a white Gaussian noise process that is input to...
7. Let h(T) =T,IT <1 (and equal to zero otherwise) be an impulse response function of...
7. Let h(T) =T,IT <1 (and equal to zero otherwise) be an impulse response function of a WSS process. Find its transfer function (v).
Let (t) and (t) be two WSS orthogonal random processes. a. Further define: u(t) = x(t)-2y(t)...
Let (t) and (t) be two WSS orthogonal random processes. a. Further define: u(t) = x(t)-2y(t) and v(t)=3x(t)+y(t) b. Find Ru(tau), Rv(tau), Ruv(tau) and Rvu(tau) in terms of Rx(tau) and Ry(tau).
Problem 5 (LSM5) (20 pts) A WSS noise process z(t) with power spectral density Ser(ju) VAre is passed through an LTI system with frequency response H(ju) 2 Denote the output of the systeru by y(t)...
Problem 5 (LSM5) (20 pts) A WSS noise process z(t) with power spectral density Ser(ju) VAre is passed through an LTI system with frequency response H(ju) 2 Denote the output of the systeru by y(t). Determine the following: (a) The correlation function R ) of r; (b) The power P, of a; (c) The power spectral density Sy ju) of y. Note:
Problem 5 (LSM5) (20 pts) A WSS noise process z(t) with power spectral density Ser(ju) VAre is passed...
Let Xn, -inf to +inf be a discrete-time zero-mean white noise process, i.e., μx[n] = 0, Rx[n] =δ[...
Let Xn, -inf to +inf be a discrete-time zero-mean white noise
process, i.e., μx[n] = 0, Rx[n] =δ[n]. The process is filtered
using an LTI system with impulse response
h[n] =αδ[n] + βδ[n−1].
Find α and β such that the output process Yn has autocorrelation
function Ry[n] =δ[n+1] + 2δ[n] +δ[n−1].
5) (3 points) Let Xn, -o0 K n oo, be a discrete-time zero-mean white noise process, i.e, ,1z[n]-(), Rx [n] S[n]. The process is filtered using an LTI system...
Exercise 6.55 Let X and Y be random variables with joint density function f(x, y)- 4 0 otherwise ...
Exercise 6.55 Let X and Y be random variables with joint density function f(x, y)- 4 0 otherwise Show that the joint density function of U = 3(X-Y) and V = Y is otherwise, where A is a region of the (u, v) plane to be determined. Deduce that U has the bilateral exponential distribution with density function fu (11) te-lul foru R.
Exercise 6.55 Let X and Y be random variables with joint density function f(x, y)- 4 0...
2. (30 points) Let X(t) be a wide-sense stationary (WSS) random signal with power spectral density...
2. (30 points) Let X(t) be a wide-sense stationary (WSS) random signal with power spectral density S(f) = 1011(f/200), and let y(t) be a random process defined by Y(t) = 10 cos(2000nt + 1) where is a uniformly distributed random variable in the interval [ 027]. Assume that X(t) and Y(t) are independent. (a) Derive the mean and autocorrelation function of Y(t). Is Y(t) a WSS process? Why? (b) Define a random signal Z(t) = X(t)Y(t). Determine and sketch the...
Problem 4 Let X(t), a continuous-time white noise process with zero mean and power spectral density equal to 2, be the...
Problem 4 Let X(t), a continuous-time white noise process with zero mean and power spectral density equal to 2, be the input to an LTI system with impulse response h(t)- 0 otherwise of Y (t). Sketch the autocorrelation function of Y(t)
Problem 4 Let X(t), a continuous-time white noise process with zero mean and power spectral density equal to 2, be the input to an LTI system with impulse response h(t)- 0 otherwise of Y (t). Sketch the autocorrelation function...
Consider a first-order system with input x(t) and output y(t). Let the time constant be the...
Consider a first-order system with input x(t) and output y(t). Let the time constant be the part of your birth date in the format of day, month (ddmm) in microseconds. Complete the following steps: 1. Write the differential equation representing the system. 2. Derive the transfer function H(s). A Note: Label all graphs appropriately. ddmm 3. Use H(s) with MATLAB to complete the following actions: • Find the poles are zeros. • Find the step response. • Find the impulse...
Problem 1: Let the impulse response of an LTI system be given by 0 t< h(t)...
Problem 1: Let the impulse response of an LTI system be given by 0 t< h(t) = 〉 1 0 < t < 1 0 t>1 Find the output y(t) of this system if the input is given by a) x(t) = 1 + cos(2nt) b) x(t)-cos(Tt) c) x(t) sin (t )l d) x(t) = 1 0 < t < 10 0 t 10 e) x(t) = δ(t-2)-5(t-4) f) a(t)-etu(t) Problem 2: For the same LTI system in Problem 1,...
7. Let h(T) =T,IT <1 (and equal to zero otherwise) be an impulse response function of a WSS process. Find its transfer function (v).
Problem 5 (LSM5) (20 pts) A WSS noise process z(t) with power spectral density Ser(ju) VAre is passed through an LTI system with frequency response H(ju) 2 Denote the output of the systeru by y(t). Determine the following: (a) The correlation function R ) of r; (b) The power P, of a; (c) The power spectral density Sy ju) of y. Note:
Problem 5 (LSM5) (20 pts) A WSS noise process z(t) with power spectral density Ser(ju) VAre is passed...
Let Xn, -inf to +inf be a discrete-time zero-mean white noise
process, i.e., μx[n] = 0, Rx[n] =δ[n]. The process is filtered
using an LTI system with impulse response
h[n] =αδ[n] + βδ[n−1].
Find α and β such that the output process Yn has autocorrelation
function Ry[n] =δ[n+1] + 2δ[n] +δ[n−1].
5) (3 points) Let Xn, -o0 K n oo, be a discrete-time zero-mean white noise process, i.e, ,1z[n]-(), Rx [n] S[n]. The process is filtered using an LTI system...
Exercise 6.55 Let X and Y be random variables with joint density function f(x, y)- 4 0 otherwise Show that the joint density function of U = 3(X-Y) and V = Y is otherwise, where A is a region of the (u, v) plane to be determined. Deduce that U has the bilateral exponential distribution with density function fu (11) te-lul foru R.
Exercise 6.55 Let X and Y be random variables with joint density function f(x, y)- 4 0...
2. (30 points) Let X(t) be a wide-sense stationary (WSS) random signal with power spectral density S(f) = 1011(f/200), and let y(t) be a random process defined by Y(t) = 10 cos(2000nt + 1) where is a uniformly distributed random variable in the interval [ 027]. Assume that X(t) and Y(t) are independent. (a) Derive the mean and autocorrelation function of Y(t). Is Y(t) a WSS process? Why? (b) Define a random signal Z(t) = X(t)Y(t). Determine and sketch the...
Problem 4 Let X(t), a continuous-time white noise process with zero mean and power spectral density equal to 2, be the input to an LTI system with impulse response h(t)- 0 otherwise of Y (t). Sketch the autocorrelation function of Y(t)
Problem 4 Let X(t), a continuous-time white noise process with zero mean and power spectral density equal to 2, be the input to an LTI system with impulse response h(t)- 0 otherwise of Y (t). Sketch the autocorrelation function...
Consider a first-order system with input x(t) and output y(t). Let the time constant be the part of your birth date in the format of day, month (ddmm) in microseconds. Complete the following steps: 1. Write the differential equation representing the system. 2. Derive the transfer function H(s). A Note: Label all graphs appropriately. ddmm 3. Use H(s) with MATLAB to complete the following actions: • Find the poles are zeros. • Find the step response. • Find the impulse...
Problem 1: Let the impulse response of an LTI system be given by 0 t< h(t) = 〉 1 0 < t < 1 0 t>1 Find the output y(t) of this system if the input is given by a) x(t) = 1 + cos(2nt) b) x(t)-cos(Tt) c) x(t) sin (t )l d) x(t) = 1 0 < t < 10 0 t 10 e) x(t) = δ(t-2)-5(t-4) f) a(t)-etu(t) Problem 2: For the same LTI system in Problem 1,...
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