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Blind sensor characteristics estimation in a multi-sensor network applied to fMRI analysis

Theis, Fabian J. (2004) Blind sensor characteristics estimation in a multi-sensor network applied to fMRI analysis. In: Palaniswami , M., (ed.) Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP, 2004: 14 - 17 Dec. 2004, Melbourne, Australia. IEEE Operations Center, Piscataway, NJ, pp. 223-228. ISBN 0-7803-8894-1(elektron. Ausgabe).

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Abstract

We propose an algorithm, based on blind source separation methods, for blindly estimating the sensor characteristics of a multi-sensor network, whose structure is also unknown. From the observed sensor outputs, the non-linearities are recovered using a well-known Gaussianization procedure. The underlying sources are then reconstructed using spatial decorrelation. Application of this robust ...

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Item Type:Book Section
Date:2004
Institutions:Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang > Arbeitsgruppe Dr. Fabian Theis
Projects:Graduiertenkolleg Nichtlinearität und Nichtgleichgewicht
Identification Number:
ValueType
10.1109/ISSNIP.2004.1417466 DOI
Subjects:500 Science > 530 Physics
500 Science > 570 Life sciences
Status:Published
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Yes
Owner: Redakteur Physik
Deposited On:20 Mar 2007
Last Modified:15 Oct 2010 05:49
Item ID:1590
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