Theis, F.
(2004)
*Uniqueness of real and complex linear independent component analysis revisited.*
In: Hlawatsch, Franz, (ed.)
Proceedings / XII. European Signal Processing Conference, EUSIPCO 2004: September 6 - 10, 2004, Vienna, Austria.
TU Wien, Wien, pp. 1705-1708.
ISBN 3-200-00148-8 (Buch), 3-200-00165-8 (CD-ROM).

Full text not available from this repository.

## Abstract

Comon showed using the Darmois-Skitovitch theorem that under mild assumptions a real-valued random vector and its linear image are both independent if and only if the linear mapping is the product of a permutation and a scaling matrix. In this work, a much simpler, direct proof is given for this theorem and generalized to the case of random vectors with complex values. The idea is based on the ...

## Export bibliographical data

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 |

Dewey Decimal Classification: | 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 |

Deposited On: | 20 Mar 2007 |

Last Modified: | 12 Oct 2010 09:05 |

Item ID: | 1617 |