METHOD OF MODELLING AND PROGNOSIS IN THE DATA OF CRITICAL FREQUENCY foF2 ON THE BASIS OF WAVELET-TRANSFORMATION

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As the critical frequency f0F2 has complicated structure, application of traditional methods of data process-
ing and analysis is inefficient. For the study we used new classes of models, methods and numerical algorithms
which are based on a mathematical structure so called multicomponent model of time series. Identification of
multicomponent model is based on the development of wavelet-transform methods and pa-rametrical models of
time series. Within the framework of this theory a method of approximation of critical frequency f0F2 data and
fillings of omissions was developed