| Title:
|
Fast and accurate methods of independent component analysis: A survey (English) |
| Author:
|
Tichavský, Petr |
| Author:
|
Koldovský, Zbyněk |
| Language:
|
English |
| Journal:
|
Kybernetika |
| ISSN:
|
0023-5954 |
| Volume:
|
47 |
| Issue:
|
3 |
| Year:
|
2011 |
| Pages:
|
426-438 |
| Summary lang:
|
English |
| . |
| Category:
|
math |
| . |
| Summary:
|
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). (English) |
| Keyword:
|
Blind source separation |
| Keyword:
|
probability distribution |
| Keyword:
|
score function |
| Keyword:
|
autoregressive random processes |
| Keyword:
|
audio signal processing |
| Keyword:
|
electroencephalogram |
| Keyword:
|
artifact rejection |
| MSC:
|
92-02 |
| MSC:
|
92-04 |
| MSC:
|
92-08 |
| MSC:
|
94A12 |
| . |
| Date available:
|
2011-06-23T12:58:31Z |
| Last updated:
|
2013-09-22 |
| Stable URL:
|
http://hdl.handle.net/10338.dmlcz/141594 |
| . |
| Reference:
|
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