ma1254 random processes :: unit 5 :: correlation & spectral densities

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CORRELATION FUNCTION AND POWER SPECTRAL DENSITY Part-A 1. What is meant by spectral analysis? 2. Define the power spectral density function of a stationary process? 3. State any 2 properties of the PSD of a stationary process. 4. Define cross power spectral density and state any two of its properties. 5. The power spectral density of a random process X(t) is given by Sxx(w) = { ; Iwl≤1 Sxx(w) = 0 otherwise Find its auto correlation function. 6. Write down the Wiener - Khinchine relations. 7. What is the use of Wiener - Khinchine theorem? 8. Find the auto correlation function of a stationary process whose PSD is given Sxx(w)= {w 2 ; Iwl≤1 Sxx(w) = 0 otherwise 9. DescribelilHneaf'llystem 10. Define a system. When is it called a linear system? 11. When a system is said it be time - invariant? 12. What is unit impulse response of a system? 13. Give:the. Relation between cross• power density spectrum and cross- correlation function. 14. Define the power of a random process. 15. Write the propertie of a linear system. Part - B 1. A WSS process has an auto correlation function R(r) = p.e -3\t\, where p is

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MA1254 Random Processes :: Unit 5 :: Correlation & Spectral Densities

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Page 1: MA1254 Random Processes :: Unit 5 :: Correlation & Spectral Densities

CORRELATION FUNCTION AND POWER SPECTRAL DENSITY

Part-A1. What is meant by spectral analysis? 2. Define the power spectral density function of a stationary process? 3. State any 2 properties of the PSD of a stationary process. 4. Define cross power spectral density and state any two of its properties. 5. The power spectral density of a random process X(t) is given by Sxx(w) = {∏ ; Iwl≤1 Sxx(w) = 0 otherwise Find its auto

correlation function. 6. Write down the Wiener - Khinchine relations. 7. What is the use of Wiener - Khinchine theorem? 8. Find the auto correlation function of a stationary process whose PSD is given

Sxx(w)= {w2 ; Iwl≤1 Sxx(w) = 0 otherwise9. DescribelilHneaf'llystem 10. Define a system. When is it called a linear system? 11. When a system is said it be time - invariant? 12. What is unit impulse response of a system? 13. Give:the. Relation between cross• power density spectrum and cross- correlation function.14. Define the power of a random process. 15. Write the propertie of a linear system.

Part - B

1. A WSS process has an auto correlation function R(r) = p.e-3\t\, where p is constant. Find its PSD of the process.

2. Find the power spectral density of a stationary random process for which the auto correlation function is Rxx(r) = A2e-αlr│

3. The auto correlation of an aperiodic power signal is Rxx(r) = e-r2 (α2 /2.) Find the power spectral density of the signal4. Find the autocorrelation function ofthe random process X(t) for which the power spectral density is given by S( w) =2α / α2+w2

5. Find the power spectral density of the random process whose autocorrelation function is R(t) = e-α │r│cos{βr).

Page 2: MA1254 Random Processes :: Unit 5 :: Correlation & Spectral Densities

6. For the process {x(t)} where x(t) = acos(bt + y), where y is uniformly distributed over (-pi, ∏). Find the auto correlation function and the spectral density.

7. The impulse response of a low pass filter is ae-atu(t) where a = ie• If a zero mean white Gaussian process {N(t)} is an input into this filter, find the auto correlation function and mean square value of the output process. . 8. Find the auto correlation function corresponding to the PSD Sxx(w) = 4/, 1+.(w 2│4)

-α< W < α 9.Given the power spectral density S x x (w) = 4+1w2' find the average power of the process.

10. A WSS random process X(t) with auto correlation Rxx(r) = Ae-alTI where 'A' and 'a' are real positive constants, is applied to the input of an linear . invariant system with impulse response h(t) = e-btu(t) where b is a real positive constant. Find the auto correlation of the output Y (t) of the system. 11. X(t) is the input and Y(t) is the output of a system. Also {X(t); t €T} is a stationary random process with μx = 0 and Rxx(r) = e-α1T1• Find μ y, Syy(w) and Ryy (t), if the power transfer function is H (w) = R/( R+iL( w) ). 12. A system has a transfer function as1/( l+j(f/l00) if the input to the system is a zero-mean stationary random process with power density spectrum as 10-9. Find the power of the output.

13. X(t), a stationary random process with zero mean is given as input to a system with transfer function H(f) = R/(R+i(2∏)L'The auto correlation of the input is e-βItI. Find the mean and power of output process. Check whether output process is stationary.

14. Given the power spectral of a continuous process as Sxx(w) =1/ (w4+5w+4 ) find the mean square of the process.