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uto correlation function Rx(τ) of a stationary process X(t) is -
  • a)
    a deterministic function with maximum value at τ = 0.
  • b)
    a deterministic function which is periodic.
  • c)
    a stationary random process.
  • d)
    a periodic stationary process.
Correct answer is option 'A'. Can you explain this answer?
Most Upvoted Answer
uto correlation function Rx(τ) of a stationary process X(t) is -a)...
A random process is said to be strictly stationary if, for each n, and each choice of t1,t2, . . . ,tn, the joint CDF of X(t1), X(t2), . . . , X(tn) is the same as the joint CDF of X(t1 +t), X(t2 + t), . . . , X(tn +t), for any t. That is, the statistics of the random process are invariant to time shifts.
Strict sense stationarity is a very strong condition to require on a random process. In practice, it is enough if only first and second-order conditions are satisfied.
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uto correlation function Rx(τ) of a stationary process X(t) is -a)a deterministic function with maximum value at τ = 0.b)a deterministic function which is periodic.c)a stationary random process.d)a periodic stationary process.Correct answer is option 'A'. Can you explain this answer?
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