bibtype |
C -
Conference Paper (international conference)
|
ARLID |
0483429 |
utime |
20240111140953.6 |
mtime |
20171218235959.9 |
SCOPUS |
85048543492 |
WOS |
000428438100041 |
DOI |
10.1109/CAMSAP.2017.8313097 |
title
(primary) (eng) |
Cramer-Rao-Induced Bound for Interference-to-Signal Ratio Achievable through Non-Gaussian Independent Component Extraction |
specification |
page_count |
4 s. |
media_type |
C |
|
serial |
ARLID |
cav_un_epca*0483428 |
ISBN |
978-1-5386-1250-7 |
title
|
IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) 2017 |
page_num |
94-97 |
publisher |
place |
Piscataway |
name |
IEEE |
year |
2017 |
|
|
keyword |
Independent Component Extraction |
keyword |
Independent Component Analysis |
author
(primary) |
ARLID |
cav_un_auth*0350114 |
share |
60 |
name1 |
Kautský |
name2 |
V. |
country |
CZ |
|
author
|
ARLID |
cav_un_auth*0230113 |
share |
30 |
name1 |
Koldovský |
name2 |
Z. |
country |
CZ |
|
author
|
ARLID |
cav_un_auth*0101212 |
share |
10 |
name1 |
Tichavský |
name2 |
Petr |
institution |
UTIA-B |
full_dept (cz) |
Stochastická informatika |
full_dept |
Department of Stochastic Informatics |
department (cz) |
SI |
department |
SI |
full_dept |
Department of Stochastic Informatics |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
source |
|
cas_special |
project |
ARLID |
cav_un_auth*0345929 |
project_id |
GA17-00902S |
agency |
GA ČR |
|
project |
ARLID |
cav_un_auth*0325246 |
project_id |
SGS15/214/OHK4/3T/14 |
agency |
ČVUT Praha |
country |
CZ |
|
abstract
(eng) |
This paper deals with the Cramér-Rao Lower Bound (CRLB) for a novel blind source separation method called Independent Component Extraction (ICE). Compared to Independent Component Analysis (ICA), ICE aims to extract only one independent signal from a linear mixture. The target signal is assumed to be non-Gaussian, while the other signals, which are not separated, are modeled as a Gaussian mixture. A CRLBinduced Bound (CRIB) for Interference-to-Signal Ratio (ISR) is derived. Numerical simulations compare the CRIB with the performance of an ICA and an ICE algorithm. The results show good agreement between the theory and the empirical results. |
action |
ARLID |
cav_un_auth*0355384 |
name |
CAMSAP 2017 - 7th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing |
dates |
20171210 |
mrcbC20-s |
20171213 |
place |
Curacao |
country |
NL |
|
RIV |
BB |
FORD0 |
10000 |
FORD1 |
10100 |
FORD2 |
10103 |
reportyear |
2018 |
num_of_auth |
3 |
presentation_type |
PO |
inst_support |
RVO:67985556 |
permalink |
http://hdl.handle.net/11104/0278760 |
confidential |
S |
mrcbC83 |
RIV/67985556:_____/17:00483429!RIV18-AV0-67985556 191975732 Doplnění UT WOS a Scopus |
mrcbC83 |
RIV/67985556:_____/17:00483429!RIV18-GA0-67985556 191965060 Doplnění UT WOS a Scopus |
mrcbC86 |
n.a. Proceedings Paper Engineering Electrical Electronic|Mathematics Applied |
mrcbC86 |
3+4 Proceedings Paper Engineering Electrical Electronic|Mathematics Applied |
mrcbC86 |
3+4 Proceedings Paper Engineering Electrical Electronic|Mathematics Applied |
arlyear |
2017 |
mrcbU14 |
85048543492 SCOPUS |
mrcbU24 |
PUBMED |
mrcbU34 |
000428438100041 WOS |
mrcbU56 |
pdf 138990 |
mrcbU63 |
cav_un_epca*0483428 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) 2017 978-1-5386-1250-7 94 97 Piscataway IEEE 2017 |
|