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Blind signal separation into groups of dependent signals using joint block diagonalization

Theis, Fabian J. (2005) Blind signal separation into groups of dependent signals using joint block diagonalization. In: Proceedings / IEEE International Symposium on Circuits and Systems, ISCAS 2005, 23-26 May 2005, Kobe, Japan. IEEE Service Center, Piscataway, NJ, pp. 5878-5881. ISBN 0-7803-9389-9.

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Multidimensional or group independent component analysis describes the task of transforming a multivariate observed sensor signal such that groups of the transformed signal components are mutually independent - however dependencies within the groups are still allowed. This generalization of independent component analysis (ICA) allows for weakening the sometimes too strict assumption of ...


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Item type:Book section
Institutions:Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
Identification Number:
10.1109/ISCAS.2005.1465976 DOI
Dewey Decimal Classification:500 Science > 570 Life sciences
Created at the University of Regensburg:Unknown
Deposited on:13 Oct 2010 05:44
Last modified:13 Oct 2010 05:44
Item ID:16981
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