Fast and accurate methods of independent component analysis: a survey

Title:

Fast and accurate methods of independent component analysis: a survey

Creator:

Tichavský, Petr and Koldovský, Zbyněk

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:37a44d54-edad-4b5a-adc3-4ab9da8152c5
uuid:37a44d54-edad-4b5a-adc3-4ab9da8152c5

Subject:

blind source separation, probability distribution, score function, autoregresive random processes, audio signal processing, electroencephalogram, and artifact rejection

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

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).

Language:

English

Rights:

http://creativecommons.org/publicdomain/mark/1.0/
policy:public

Coverage:

[426]-438

Source:

Kybernetika | 2011 Volume:47 | Number:3

Harvested from:

CDK

Metadata only:

false