The Stationary Subspace Analysis Toolbox
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.
Cite
Text
Müller et al. "The Stationary Subspace Analysis Toolbox." Machine Learning Open Source Software, 2011.Markdown
[Müller et al. "The Stationary Subspace Analysis Toolbox." Machine Learning Open Source Software, 2011.](https://mlanthology.org/mloss/2011/muller2011jmlr-stationary/)BibTeX
@article{muller2011jmlr-stationary,
title = {{The Stationary Subspace Analysis Toolbox}},
author = {Müller, Jan Saputra and von Bünau, Paul and Meinecke, Frank C. and Király, Franz J. and Müller, Klaus-Robert},
journal = {Machine Learning Open Source Software},
year = {2011},
pages = {3065-3069},
volume = {12},
url = {https://mlanthology.org/mloss/2011/muller2011jmlr-stationary/}
}