| bibtype |
J -
Journal Article
|
| ARLID |
0085697 |
| utime |
20240111140649.7 |
| mtime |
20070918235959.9 |
| title
(primary) (eng) |
Speed and accuracy enhancement of linear ICA techniques using rational nonlinear functions |
| specification |
| page_count |
8 s. |
| media_type |
CD-ROM |
|
| serial |
| ARLID |
cav_un_epca*0258518 |
| ISSN |
0302-9743 |
| title
|
Lecture Notes in Computer Science |
| volume_id |
2007 |
| volume |
4666 (2007) |
| page_num |
285-292 |
|
| title
(cze) |
Zlepšení rychlosti a přesnosti metod analýzy nezávislých komponent pomocí racionálních nelineárních funkcí |
| keyword |
blind source separation |
| keyword |
independent component analysis |
| author
(primary) |
| 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. |
|
| author
|
| 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*0213223 |
| name1 |
Oja |
| name2 |
E. |
| country |
FI |
|
| source |
| source_type |
textový dokument |
| source_size |
285 kB |
|
| 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 |
|
| research |
CEZ:AV0Z10750506 |
| abstract
(eng) |
Many linear ICA techniques are based on minimizing a nonlinear contrast function and many of them use a hyperbolic tangent (tanh) as their built-in nonlinearity. In this paper we propose two rational functions to replace the tanh and other popular functions that are tailored for separating supergaussian (long-tailed) sources. The advantage of the rational function is two-fold. First, the rational function requires a significantly lower computational complexity than tanh, e.g. nine times lower. As a result, algorithms using the rational functions are typically twice faster than algorithms with tanh. Second, it can be shown that a suitable selection of the rational function allows to achieve a better performance of the separation in certain scenarios. This improvement might be systematic, if the rational nonlinearities are selected adaptively to data. |
| abstract
(cze) |
Mnoho algoritmů pro analýzu nezávislých komponent které jsou založené na minimalizaci nelineárnikontrastní funkce používají hyperbolickou tangentu (tanh) jako svojí vestavěnou nelinearitu. V článku je navrženo nahrazení tanh dvěmi racionálními funkcemi a další racionální funkce jsou navrženy pro separaci supergaussovskych zdrojů, tj. zdrojů jejichž pdf ma těžké chvosty. Výhodou racionálních funkcí je snižení výpočetní složitosti a případně též zlepšení kvality separace, pokud jsou nelinearity vybrány adaptivně ke zpracovávaným datům. |
| action |
| ARLID |
cav_un_auth*0229894 |
| name |
Independent Component Analysis and Signal Separation |
| place |
Londyn |
| dates |
09.09.2007-12.09.2007 |
| country |
GB |
|
| reportyear |
2008 |
| RIV |
BB |
| permalink |
http://hdl.handle.net/11104/0148150 |
| arlyear |
2007 |
| mrcbU56 |
textový dokument 285 kB |
| mrcbU63 |
cav_un_epca*0258518 Lecture Notes in Computer Science 0302-9743 Roč. 2007 č. 4666 2007 285 292 |
|