If X(t) is a Wide-Sense-Stationary Gaussian Random Variable with zero mean, i.e. E[X(t)] = 0, how do you find the autocovariance of $Z(t) = X^2(t)$
I know that for a zero-mean Gaussian, the following applies:
[1234] = [12][34] + [13][24] + [14][23]
If X(t) is a Wide-Sense-Stationary Gaussian Random Variable with zero mean, i.e. E[X(t)] = 0, how do you find the autocovariance of $Z(t) = X^2(t)$
I know that for a zero-mean Gaussian, the following applies:
[1234] = [12][34] + [13][24] + [14][23]
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