Projects that are tagged with blind source separation.
The CAM R-Java software provides a noval way to solve blind source separation problem.
Three classic BSS algorithms - NMF, fastICA and Factor Analysis - are combined into the software. Users can readily call the three functions from Java GUI
A simple plug-in mechanism is added. Users can add their own BSS algorithm into the software by following the Software Plugin Adding Guide and User Manual
- Operating System:
Mac Os X,
- Data Formats:
Independent Component Analysis,
Nonnegative Matrix Factorization,
Blind Source Separation,
Affinity Propagation Clustering,
Convex Analysis Of Mixtures,
Information Based Model Selection,
The SSA Toolbox is an efficient, platform-independent, standalone implementation of the Stationary Subspace Analysis algorithm with a friendly graphical user 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, investigate and visualize temporal changes in complex high-dimensional data sets.