Authors:
Marina Charwath
;
Imke Hahn
;
Sascha Hauke
;
Martin Pyka
;
Slawi Stesny
;
Dietmar Lammers
;
Steffen Wachenfeld
and
Markus Borschbach
Affiliation:
Institute for Computer Science, Germany
Keyword(s):
Blind signal separation, automated evaluation, reference matlab based test engine and test data suite.
Related
Ontology
Subjects/Areas/Topics:
Adaptive Signal Processing and Control
;
Computer Vision, Visualization and Computer Graphics
;
Feature Extraction
;
Features Extraction
;
Image and Video Analysis
;
Informatics in Control, Automation and Robotics
;
Instrumentation Networks and Software
;
Optimization Problems in Signal Processing
;
Signal Processing, Sensors, Systems Modeling and Control
;
Signal Reconstruction
Abstract:
To ensure the integration and a systematic performance evaluation of the CubICA, the JADE and the EfICA algorithm, a previously developed testsuite for BSS-problems is used. All the steps to perform a competition of methods for source separation are part of a testsuite that supports the development and evaluation of blind source separation (BSS) algorithms in a highly automated way. The concept of the testsuite is presented and it is shown how the testsuite can be used to apply a selection of BSS-algorithms to four standard sub-problems. To compare the performance of arbitrary algorithms on given problems the testsuite allows the integration of new algorithms and testing problems using well defined interfaces. A brief example is given by the integration of the FlexICA, EVD, EVD24 and the FastICA. Also the integration of CubICA, JADE and the EfICA algorithm and the results achieved from automated tests and parameter optimizations will be described in comparison.