Signals & Stochastic process

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