Theis, Fabian J. and Georgiev, P. and Cichocki, A.
(2004)
*Blind source recovery: algorithm comparison and fusion.*
In:
Proceedings: Bayesian inference and maximum entropy methods in science and engineering (MaxEnt): 24th internat. workshop, Garching, Germany, 25 - 30 July 2004.
AIP conference proceedings, 735.
American Institute of Physics, Garching, Germany, pp. 320-327.
ISBN 0-7354-0217-5 .

Full text not available from this repository.

Other URL: http://homepages.uni-regensburg.de/~thf11669/publications/theis04BSR_MaxEnt2004.pdf

## Abstract

We study different solutions of the so-called blind source recovery (BSR) problem: Given an m-dimensional mixture random process x(t) and an m£n mixing matrix A, solve the underdetermined equation x(t) = As(t)+e(t) with the unknown n-dimensional source process s(t) and noise e(t). For simplicity, we will assume that the processes are i.i.d. Moreover, s(t) has to satisfy additional assumptions ...

## 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: | 14 Oct 2010 13:37 |

Item ID: | 1591 |