Analysis of data from periodically forced stochastic processes

A method for analysis of periodically-forced stochastic processes is presented. The method enables extraction of the deterministic and random components of process dynamics from measured data, provided the forcing frequency is known and the data is sampled stroboscopically. The method is illustrated by three examples employing synthetic and experimental data.

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