Fast And Accurate Methods Of Independent Component Analysis: A Survey
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Date
2011
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Kybernetika
Abstract
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).
Description
Subject(s)
Blind source separation, probability distribution, score function, autoregressive random processes, audio signal processing, electroencephalogram, artifact rejection
Citation
ISSN
0023-5954