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The concept of ergodicity is also significant from a measurement perspective because inpractical situations we do not have access to all the sample realizations of a random process.We therefore have to be content in these situations with the time-averages that we obtainfrom a single realization. Ergodic processes are signals for which measurements based on asingle sample function are sufficient to determine the ensemble statistics. Random signalsfor which this property does not hold are referred to as non-ergodic processes. As before theGaussian random signal is a an exception where strict sense ergodicity implies wide senseergodicity.
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