Estimation and Classification of Non-Stationary Processes : Applications in Time-Frequency Analysis
This thesis deals with estimation and classification problems of non-stationary processes in a few special cases.In paper A and paper D we make strong assumptions about the observed signal, where a specific model is assumed and the parameters of the model are estimated.In Paper B, Paper C, and Paper E more general assumptions about the structure of the observed processes are made, and the methods