Detecting hidden periodicity of time-series generated by nonlinear processes in magneto-plasma

Models of hidden periodicity in the field of fluctuations and waves in magnetospheric and space plasma are presented. Such interest is stipulated by the fact that space is a source of very different electromagnetic processes. Among wave phenomena the special place take geomagnetic pulsations-the most low frequency (0.001-5 Hz) electromagnetic wave fields of a natural origin. The signals of pulsations are just such an object, to which can to the full be applied both concepts of nonlinear dynamics, and model and methods of revealing the hidden periodicity. The ample opportunities of such signal analysis will be realized at transition to non-stationary probabilistic model of hidden periodicity in kind of almost periodically correlated random processes (almost PCRP) The signals of geomagnetic pulsations PC-I hydromagnetic emissions (HME) of magnetospheric plasma are analysed.