Prewhitening signal covariance estimation in MEG dual experimental conditions

Autor:	Kensuke Sekihara, Srikantan S. Nagarajan, Kenneth E. Hild
Rok vydání:	2007
Předmět:	Beamforming Estimation of covariance matrices Computer science Speech recognition General Medicine Interference (wave propagation) Signal Algorithm Dual (category theory) Task (project management)
Zdroj:	International Congress Series. 1300:169-172
ISSN:	0531-5131
DOI:	10.1016/j.ics.2007.02.040
Popis:	This paper presents an analysis on the performance of the prewhitening signal covariance estimation under two kinds of non-ideal scenarios. In the first scenario, some sources exist only in the control condition and do not exist in the task condition. In the second scenario, the signal sources exist both in the control and the task conditions, and they change their intensities between the two conditions. The results from computer simulation to validate the analysis are also presented.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::1c75c8892709a9f6a1a6e037d57d2596 https://doi.org/10.1016/j.ics.2007.02.040 Zobrazit plný text záznamu Full Text from ScienceDirect