The Stationary Subspace Analysis toolbox
Jan Saputra Müller, Paul Buenau, Frank Meinecke, Franz Király and Klaus-Robert Müller
Journal of Machine Learning Research Volume 12, pp. 3065-3069, 2011.

Abstract

The Stationary Subspace Analysis (SSA) algorithm linearly factorizes a high-dimensional time series into stationary and non-stationary components. The SSA Toolbox is a platform-independent efficient stand-alone implementation of the SSA algorithm with a graphical user interface written in Java, that can also be invoked from the command line and from Matlab. The graphical interface guides the user through the whole process; data can be imported and exported from comma separated values (CSV) and Matlab's .mat files.

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	PDF (Manual of the toolbox.) - Requires Adobe Acrobat Reader or other PDF viewer.

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