Web projektu DAR

Research Centre
Data - Algorithms - Decision Making

Established in 2005 under support of MŠMT ČR (project 1M0572)

Publications

Fast and accurate methods of independent component analysis: A survey

Typ:

Jornal article

Authors:

Tichavský P., Koldovský Z.

Name of journal:

Kybernetika

Volume:

Year:

2011

Number:

3 (2011)

Pages:

426-438

ISSN:

0023-5954

Contact:

Ing. Petr Tichavský, CSc. (ÚTIA - Oddělení stochastické informatiky)

Keywords:

Blind source separation, artifact removal, electroencephalog

Anotation:

This paper presents a survey of recent successful algorithms for blind separation of determined instantaneous linear mixtures of independent sources such as natural speech or biomedical signals. These algorithms rely either on non-Gaussianity, nonstationarity, spectral diversity, or on a combination of them. Performance of the algorithms will be demonstrated on separation of a linear instantaneous mixture of audio signals (music, speech) and on artifact removal in electroencephalogram (EEG).