Článek v odborném periodiku

Tichavský P., Koldovský Z.

Kybernetika

47

2011

3 (2011)

426-438

0023-5954

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

Blind source separation, artifact removal, electroencephalog

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).