Random Processes and Stationarity
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Question 1 of 4
1. Question
A collection of random variables measured at different indices in time is called a random process.
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Question 2 of 4
2. Question
If the statistics describing relationships between elements of a random process are independent of the time one considers in the random process, the process is called
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Question 3 of 4
3. Question
The autocovariance for a wide-sense stationary random process depends only on
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Question 4 of 4
4. Question
If a random process is ergodic, then we can estimate expectations such as the mean and covariance by
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