Explain mean Ergodic processes in brief.
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Stationary ergodic process is a stochastic process which exhibits both stationarity and ergodicity. ... Stationarity is the property of a random process which guarantees that its statistical properties, such as the mean value, its moments and variance, will not change over time.
An ergodic process is one which conforms to the ergodic theorem. The theorem allows the time average of a conforming process to equal the ensemble average. The ensemble average is meaningless. Also see ergodic theory and ergodic process.
An ergodic process is one which conforms to the ergodic theorem. The theorem allows the time average of a conforming process to equal the ensemble average. The ensemble average is meaningless. Also see ergodic theory and ergodic process.
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