Definition
There are two differing approaches to the treatment of cyclostationary processes. The probabilistic approach is to view measurements as an instance of a stochastic process. As an alternative, the deterministic approach is to view the measurements as a single time series, from which a probability distribution can be defined as the fraction of time that events occurs over the lifetime of the time series. In both approaches, the process or time series is said to be cyclostationary if its associated probability distributions vary periodically with time. However, in the deterministic time-series approach, there is an alternative but equivalent definition: A time series that contains no additive finite-strength sine-wave components is said to exhibit cyclostationarity if there exists some nonlinear transformation of the signal that produces positive-strength additive sine wave components.
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