bibtype |
C -
Conference Paper (international conference)
|
ARLID |
0410338 |
utime |
20240103182207.1 |
mtime |
20060210235959.9 |
ISBN |
951-22-5017-9 |
title
(primary) (eng) |
Independent component analysis through direct estimation of the mutual information |
publisher |
place |
Helsinki |
name |
IEEE Signal Processing Society |
pub_time |
2000 |
|
specification |
|
serial |
title
|
Independent Component Analysis and Blind Signal Separation. Proceedings |
page_num |
69-74 |
editor |
|
editor |
|
|
author
(primary) |
ARLID |
cav_un_auth*0212645 |
name1 |
Darbellay |
name2 |
G. A. |
country |
CH |
|
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. |
|
COSATI |
12B |
cas_special |
project |
project_id |
KSK1075601 |
agency |
GA AV |
country |
CZ |
ARLID |
cav_un_auth*0027435 |
|
research |
AV0Z1075907 |
abstract
(eng) |
An algorithm for the estimation of the mutual information between several signals is studied. The algorithm uses a data-dependent partitioning of the observation space and has a relatively low computational cost. The usefulness of this approach in solving the independent component analysis problem is demonstrated on the separation of a linear mixture of two and three real-world speech data sets. |
action |
ARLID |
cav_un_auth*0212646 |
name |
ICA 2000. /2./ |
place |
Helsinki |
country |
FI |
dates |
19.06.2000-22.06.2000 |
|
RIV |
BB |
department |
SI |
permalink |
http://hdl.handle.net/11104/0130428 |
ID_orig |
UTIA-B 20000054 |
arlyear |
2000 |
mrcbU10 |
2000 |
mrcbU10 |
Helsinki IEEE Signal Processing Society |
mrcbU12 |
951-22-5017-9 |
mrcbU63 |
Independent Component Analysis and Blind Signal Separation. Proceedings 69 74 |
mrcbU67 |
Pajunen P. 340 |
mrcbU67 |
Karhunen J. 340 |
|