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
source_type pdf
url http://library.utia.cas.cz/separaty/2017/SI/tichavsky-0483429.pdf
source_size 138990
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