| Zugriffsnummer | 23906 |
| Dokumenttyp | Konferenzartikel |
| Sprache | Englisch |
| Titel | Parallel Implementation of Temporal Decorrelation Independent Component Analysis |
| Autor(in); Institution |
Sander-Thömmes, Tilmann; 8.2, Biosignale, PTB-Berlin
|
| Quelle/Jahr | World Congress on Medical Physics and Biomedical Engineering:(2009), 1783 - 1785 |
| Schriftenreihe | IFMBE proceedings: 25,4 |
| Availability | [CD-ROM] ; file name: 25041783.pdf |
| Herausgeber(in) |
Dössel, Olaf
|
| ISSN | 1680-0737 |
| ISBN | 978-3-642-03897-6 ; 978-3-642-03472-5 |
| Verlag | Berlin [u.a.]: Springer |
| Konferenzangaben | World Congress 2009 on Medical Physics and Biomedical Engineering, 11th International Congress of the IUPESM, Munich, 07-12, September, 2009, Germany |
| Freie Schlagworte | Independent component analysis ; parallel algorithm ; message passing interface ; pc cluster |
| Zusammenfassung | Biosignal processing of large data sets such as electro- or magnetoencephalographic recordings can be computationally very demanding. The usual approach of using a high level language can be to slow especially in the application of statistical methods such as independent component analysis. If heuristic parameter space searches or bootstrapping are required the computations exceed the capabilities of a standard desktop PC. With the advent of small PC clusters and multi-core CPUs parallel programming has become much more accessible. Here the parallel implementation of an independent component analysis algorithm is presented, which runs on simple multi processing hardware well below the level of high performance clusters. One feature of our approach is the close interaction between parallel program and high level language simplifying development and testing. |
