bibtype |
J -
Journal Article
|
ARLID |
0360241 |
utime |
20240903170623.1 |
mtime |
20110707235959.9 |
WOS |
000293207900008 |
title
(primary) (eng) |
Fast and accurate methods of independent component analysis: A survey |
specification |
|
serial |
ARLID |
cav_un_epca*0297163 |
ISSN |
0023-5954 |
title
|
Kybernetika |
volume_id |
47 |
volume |
3 (2011) |
page_num |
426-438 |
publisher |
name |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
|
keyword |
Blind source separation |
keyword |
artifact removal |
keyword |
electroencephalogram |
keyword |
audio signal processing |
author
(primary) |
ARLID |
cav_un_auth*0101212 |
name1 |
Tichavský |
name2 |
Petr |
full_dept (cz) |
Stochastická informatika |
full_dept (eng) |
Department of Stochastic Informatics |
department (cz) |
SI |
department (eng) |
SI |
institution |
UTIA-B |
full_dept |
Department of Stochastic Informatics |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
author
|
ARLID |
cav_un_auth*0108100 |
name1 |
Koldovský |
name2 |
Zbyněk |
full_dept (cz) |
Stochastická informatika |
full_dept |
Department of Stochastic Informatics |
department (cz) |
SI |
department |
SI |
institution |
UTIA-B |
full_dept |
Department of Stochastic Informatics |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
source |
|
cas_special |
project |
project_id |
1M0572 |
agency |
GA MŠk |
ARLID |
cav_un_auth*0001814 |
|
project |
project_id |
GA102/09/1278 |
agency |
GA ČR |
ARLID |
cav_un_auth*0253174 |
|
research |
CEZ:AV0Z10750506 |
abstract
(eng) |
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). |
reportyear |
2012 |
RIV |
BB |
num_of_auth |
2 |
mrcbC52 |
4 O 4o 20231122134558.0 |
permalink |
http://hdl.handle.net/11104/0197837 |
mrcbT16-e |
COMPUTERSCIENCECYBERNETICS |
mrcbT16-f |
0.473 |
mrcbT16-g |
0.033 |
mrcbT16-h |
9.5 |
mrcbT16-i |
0.0016 |
mrcbT16-j |
0.277 |
mrcbT16-k |
403 |
mrcbT16-l |
61 |
mrcbT16-q |
21 |
mrcbT16-s |
0.307 |
mrcbT16-y |
20.45 |
mrcbT16-x |
0.61 |
mrcbT16-4 |
Q2 |
mrcbT16-B |
23.915 |
mrcbT16-C |
17.500 |
mrcbT16-D |
Q4 |
mrcbT16-E |
Q3 |
arlyear |
2011 |
mrcbTft |
\nSoubory v repozitáři: 0360241.pdf |
mrcbU34 |
000293207900008 WOS |
mrcbU56 |
898 kB |
mrcbU63 |
cav_un_epca*0297163 Kybernetika 0023-5954 Roč. 47 č. 3 2011 426 438 Ústav teorie informace a automatizace AV ČR, v. v. i. |
|