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)
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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 an LTI system with transfer function
a) Find PSD of the output Sy(f)
b) Find the mean square of Y(t)
Summary - it is basic problem so I have shown step by step solution
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) -----------------...
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...
Problem 1 (10 Marks) The noise X(t) applied to the filter shown in Figure I is modeled as a WSS random process with PSD S,(f). Let Y(t) denote the random noise process at the output of the filter. A linea filsee Figure 1: The Filter. (T) Je Sinc 1. Find the frequency response, H(f), of the filter. 2. If X(t) is a white noise process with PSD No/2, find the PSD of the noise precess Y(t). 2- f 3. Is...
Please respond as soon as possible, thank you. An LTI system has the impulse response h(T) = 1 for 0 <T<T and is zero otherwise. If continuous-time white noise with ACF ru(T) = (No/2)8(T) is input to the system, what is the PSD of the output random process? Sketch the PSD.
Problem 20 Let X(t) be a white Gaussian noise with Sx(f)= No. Assume that X(t) is input to a bandpass filter with frequency response 1<|f] < 3 2 H(f) = < otherwise Let Y(t) be the output. a. Find Sy(f). b. Find Ry(7). c. Find E[Y(t)²].
5.57 Let np(t) be a zero-mean white Gaussian noise with the power spectral density 20 let this noise be passed through an ideal bandpass filter with the bandwidth 2W centered at the frequency fe. Denote the output process by nt). 1. Assuming fo fe, find the power content of the in-phase and quadrature components of n(t). We were unable to transcribe this image 5.57 Let np(t) be a zero-mean white Gaussian noise with the power spectral density 20 let this...
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...
3.34. Let (X.(t) and (x.(e)) denote two statistically independent zero mean stationary Gaussian random processes with common power spec- tral density given by Ste (f) = S, (f) = 112B(f) Watt/Ha Define X (t) X( t) cos(2 fo t) - Xs (t) sin(2r fot) ) - Xs(t) sin(2T fot where fo》 B (c) Find the pdf of X(0). (d) The process X(t) is passed through an ideal bandpass filter with transfer function given by otherwise. Let Y(t) denote the output...
Exercise 5. Let X(t) be a WSS process with correlation function 1-Irl, if-1-1S1 0,otherwise. Rx(T) = It is known that when X (t) is input to a system with transfer function H(), the system output Y(t) has a correlation function Ry(T) sin TT = =-TT Find the transfer function H(u
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...
Let the signals x(t) and y(t) be the input and output signals to a differentiator, respectively. x(t) do y(t) (a) Let the autocorrelation of the signal x(t) be R (T) and the autocorrelation of the signal y(t) be R (T). If y(t)= X, express R, (T) in terms of R. (T) dt (b) Assume R (T) = 5e and find the power in the output signal y(t). JA, \f}<B (c) Assume that the power spectral density (PSD) of x(t) is...