### Abstract

Original language | Undefined |
---|---|

Title of host publication | Proceedings of the 28th Symposium on Information Theory in the Benelux |

Editors | Raymond N.J. Veldhuis, R.N.J. Veldhuis, H.S. Cronie |

Place of Publication | Eindhoven |

Publisher | Werkgemeenschap voor Informatie- en Communicatietheorie (WIC) |

Pages | 211-218 |

Number of pages | 8 |

ISBN (Print) | 978-90-365-2509-1 |

Publication status | Published - 24 Jun 2007 |

Event | 28th Symposium on Information Theory in the Benelux 2007 - Best Western Dish Hotel, Enschede, Netherlands Duration: 24 May 2007 → 25 May 2007 Conference number: 28 |

### Publication series

Name | |
---|---|

Publisher | Werkgemeenschap voor Informatie- en Communicatietechniek |

Number | LNCS4549 |

### Conference

Conference | 28th Symposium on Information Theory in the Benelux 2007 |
---|---|

Country | Netherlands |

City | Enschede |

Period | 24/05/07 → 25/05/07 |

### Keywords

- EWI-10856
- METIS-241832
- IR-64279
- SCS-Safety

### Cite this

*Proceedings of the 28th Symposium on Information Theory in the Benelux*(pp. 211-218). Eindhoven: Werkgemeenschap voor Informatie- en Communicatietheorie (WIC).

}

*Proceedings of the 28th Symposium on Information Theory in the Benelux.*Werkgemeenschap voor Informatie- en Communicatietheorie (WIC), Eindhoven, pp. 211-218, 28th Symposium on Information Theory in the Benelux 2007, Enschede, Netherlands, 24/05/07.

**Component ordering in independent component analysis based on data power.** / Hendrikse, A.J.; Spreeuwers, Lieuwe Jan.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic

TY - GEN

T1 - Component ordering in independent component analysis based on data power

AU - Hendrikse, A.J.

AU - Spreeuwers, Lieuwe Jan

PY - 2007/6/24

Y1 - 2007/6/24

N2 - With Independent Component Analysis (ICA) the objective is to separate multidimensional data into independent components. A well known problem in ICA is that since both the independent components and the separation matrix have to be estimated, neither the ordering nor the amplitudes of the components can be determined. One suggested method for solving these ambiguities in ICA is to measure the data power of a component, which indicates the amount of input data variance explained by an independent component. This method resembles the eigenvalue ordering of principle components. We will demonstrate theoretically and with experiments that strong sources can be estimated with higher accuracy than weak components. Based on the selection by data power, a method is developed for estimating independent components in high dimensional spaces. A test with synthetic data shows that the new algorithm can provide higher accuracy than the usual PCA dimension reduction.

AB - With Independent Component Analysis (ICA) the objective is to separate multidimensional data into independent components. A well known problem in ICA is that since both the independent components and the separation matrix have to be estimated, neither the ordering nor the amplitudes of the components can be determined. One suggested method for solving these ambiguities in ICA is to measure the data power of a component, which indicates the amount of input data variance explained by an independent component. This method resembles the eigenvalue ordering of principle components. We will demonstrate theoretically and with experiments that strong sources can be estimated with higher accuracy than weak components. Based on the selection by data power, a method is developed for estimating independent components in high dimensional spaces. A test with synthetic data shows that the new algorithm can provide higher accuracy than the usual PCA dimension reduction.

KW - EWI-10856

KW - METIS-241832

KW - IR-64279

KW - SCS-Safety

M3 - Conference contribution

SN - 978-90-365-2509-1

SP - 211

EP - 218

BT - Proceedings of the 28th Symposium on Information Theory in the Benelux

A2 - Veldhuis, Raymond N.J.

A2 - Veldhuis, R.N.J.

A2 - Cronie, H.S.

PB - Werkgemeenschap voor Informatie- en Communicatietheorie (WIC)

CY - Eindhoven

ER -