Description:

The SSA Toolbox is an efficient, platform-independent, standalone implementation of the Stationary Subspace Analysis algorithm with a friendly graphical user interface, a command-line interface, and a bridge to Matlab.

Stationary Subspace Analysis (SSA) is a general purpose algorithm for the explorative analysis of non-stationary data, i.e. data whose statistical properties change over time. SSA helps to detect, characterize and visualize temporal changes in complex high-dimensional data sets.

Changes to previous version:

• Various bugfixes.

BibTeX Entry: Download

Corresponding Paper BibTeX Entry: Download

Supported Operating Systems: Platform Independent

Data Formats: Matlab, Csv

Tags: Blind Source Separation, Nonstationary Data, Stationary Subspace Analysis, Time Series Analysis

Archive: download here

Other available revisons

Version	Changelog	Date
1.3	Various bugfixes.	October 24, 2011, 15:31:07
1.2	Added example data and Matlab script for generating synthetic data sets. Improved API documentation and example for how to use the toolbox as a Java library. Added a command-line interface. Optimization of the non-stationary sources, in order to improve the result in the case where the correlations between s- and n-sources are not time-constant. The objective function has been normalized to make its value interpretable. Methodological appendices have been added to the manual.	August 12, 2011, 15:19:34
1.1	Better diagnostic messages in case of errors.	April 1, 2011, 11:00:57
1.0	Various bug fixes. Improved GUI. Added option for heuristic parameter choice. Extended developer support (unit tests, documentation)	March 16, 2011, 17:47:23
0.3	Initial Announcement on mloss.org.	February 1, 2011, 22:42:03

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