On some methods for non-stationary time series analysis: a Java – based software
The modelling and analysis are important actions for a large spectrum of applications. This paper considers stationary and non-stationary time series from computational point of view. Some existing techniques are reviewed for probabilistic, wavelet-based, soft computing and hybrid approaches. The functionalities of the TJMES - a Java - based software tool for time series modelling and analysis - are described both for computing and E-learning in
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