This project investigates new approaches of modelling for the non-stationary data sets, which are commonly generated in many systems including Radar, Sonar, communications, instrumentation, seismic exploration, speech processing and recognition, etc. Signal processing functions usually perform based on a pre-set model, or the system structure is fixed. Although this provides a simple solution, it is highly inefficient especially for non-stationary systems that are common in practice.