Konferenční příspěvek

Gómez-Herrero G., Koldovský Z., Tichavský P., Egiazarian K.

Proccedings of the 15th European Signal Processing Conference. EUSIPCO 2007

PTETiS

Poznan

2007

978-83-921340-2-2

Ing. Petr Tichavský, CSc. (ÚTIA - Oddělení stochastické informatiky)

Blind source separation, multidimensional independent compon

In this article we propose a computationally efficient method (termed FCOMBI) to combine the strengths of non-Gaussianity based blind source separation (BSS) and cross-correlation-based BSS. This is done by fusing the separtion abilities of two well known algorithms: EFICA and WASOBI. The algorithm is suitable for the analysis of very high-dimensional datasets like high-density Electroencephalogram or Magnetoencephalogram recordings.