| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0332900 |
| utime |
20240111140729.5 |
| mtime |
20091202235959.9 |
| title
(primary) (eng) |
A Comparison of Independent Component and Independent Subspace Analysis Algorithms |
| specification |
| page_count |
5 s. |
| media_type |
www |
|
| serial |
| ARLID |
cav_un_epca*0332899 |
| title
|
17th European Signal Processing Conference (EUSIPCO 2009) |
| page_num |
1447-1451 |
| publisher |
| place |
Glasgow |
| name |
University of Strathclyde, Glasgow |
| year |
2009 |
|
|
| title
(cze) |
Porovnání metod analýzy nezávislých komponent a analýzy nezávislých podprostorů |
| keyword |
audio source separation |
| keyword |
convolutive mixtures |
| author
(primary) |
| ARLID |
cav_un_auth*0108100 |
| name1 |
Koldovský |
| name2 |
Zbyněk |
| 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*0101212 |
| name1 |
Tichavský |
| name2 |
Petr |
| 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 |
GP102/07/P384 |
| agency |
GA ČR |
| country |
CZ |
| ARLID |
cav_un_auth*0227962 |
|
| project |
| project_id |
GA102/09/1278 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0253174 |
|
| research |
CEZ:AV0Z10750506 |
| abstract
(eng) |
Recent advances in separation of convolutive mixtures of audio signals have shown that the problem can be successfully solved in time-domain in a multistep procedure including an application of some method of instantaneous independent component analysis (ICA) or independent subspace analysis (ISA), as one of the steps. In this paper we propose a test that allows a comparison of different ICA and ISA algorithms from this perspective. The test consists in evaluating separation of a pseudo-convolutive mixture of given independent signals. The mixture has features of real-world convolutive mixtures and of instantaneous mixtures simultaneously. We apply the proposed test to compare performance of several ICA and ISA algorithms in four different scenarios, taking in mind that suitability of the algorithms depends on properties of the separated signals. |
| abstract
(cze) |
Slepá separace konvolutorních směsí zvukových signálů může být prováděna v časové oblasti jak s využitím metod analýzy nezávislých komponent, tak pomocí analýzy nezávislých podprostorů. V práci je navržen způsob porovnání efektivity obou přístupů. Test spočívá ve vyhodnocení výsledků separace pseudo-konvolutorní směsi, která má vyžaduje separaci podprostorů, a přitom teoreticky umožňuje perfektní separaci. Celkem je porovnáno jedenáct různých algoritmů pro separaci čtyř druhů separovaných signálů. |
| action |
| ARLID |
cav_un_auth*0254046 |
| name |
17th European Signal Processing Conference (EUSIPCO 2009) |
| place |
Glasgow |
| dates |
24.08.2009-28.08.2009 |
| country |
GB |
|
| reportyear |
2010 |
| RIV |
BB |
| permalink |
http://hdl.handle.net/11104/0178018 |
| arlyear |
2009 |
| mrcbU56 |
pdf 342 kB |
| mrcbU63 |
cav_un_epca*0332899 17th European Signal Processing Conference (EUSIPCO 2009) 1447 1451 Glasgow University of Strathclyde, Glasgow 2009 |
|