Signals & Stochastic process

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Across
  1. 2. This is one of the function which give the complete statistical characteristics of random signals
  2. 4. These are not contained inside ROC
  3. 9. For LTI system to be both casual and stable all poles should be included inside this in Z-plane
  4. 14. Autocorrelation of a random process is maximum at this point
  5. 15. For random process if its mean is constant and autocorrelation is independent of time then it is called _______
  6. 17. PSD for a fourier transform pair with this function
  7. 18. ROC in Z-transforms take this shape in Z-plane
  8. 19. This signal is random in nature
Down
  1. 1. Convariance is zero when two random processes X(t) and Y(t) are_______
  2. 3. PSD of a WSS process is always_______
  3. 5. Z-transform of one unit advanced impulse will not converge at this point in Z-plane
  4. 6. For this random process the future values of sample function can be predicted based on its past values
  5. 7. If two random processes are _______then the cross correlation between them is zero
  6. 8. This discrete random process represents the number of times that same event has occurred as a function of time
  7. 10. This function is a measure of interdependence between two random variables
  8. 11. This operation between a function and it's time reversal give autocorrelation
  9. 12. These random processes have all time averages of sample function equal to corresponding ensemble averages
  10. 13. This refers to collection of all sample functions
  11. 16. This is the measure of the spread of spectral density
  12. 17. This frequency function at zero frequency gives the area under autocorrelation