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The present paper is concerned with the issues of processing telemetry and trajectory measure ments obtained as a result of complex systems functioning. We illustrate the concept "complex systems" with the help of complex dynamic objects. The methods of processing which are introduced in the following are based on the most advanced and updated techniques in the areas of time frequency analysis, wavelet theory, and other adaptive approaches. Special attention is drawn to the problem of signal preprocessing, which is always crucial in practice.

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The present paper deals with the implementation of intellectual technologies, which allow us to extract new knowledge from raw data by means of segmentation, clustering, classification and other Data Mining approaches with the purpose of analyzing the functioning of different complex dynamic objects in the presence of contaminating noise, outliers, and missing values.