Abstract
The use of polynomial functionals of the white noise process is discussed for the treatment of nonlinear random processes. It is noted that such treatments are useful for nearly-Gaussian processes. Applications of such representations to nonlinear systems and to nonlinear fluid mechanics problems (turbulence) are reviewed.
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Meecham, W.C. Stochastic representation of nearly-Gaussian, nonlinear processes. J Stat Phys 1, 25–40 (1969). https://doi.org/10.1007/BF01007239
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DOI: https://doi.org/10.1007/BF01007239