bibtype |
C -
Conference Paper (international conference)
|
ARLID |
0483430 |
utime |
20240111140953.6 |
mtime |
20171218235959.9 |
SCOPUS |
85051123821 |
WOS |
000428438100026 |
DOI |
10.1109/CAMSAP.2017.8313082 |
title
(primary) (eng) |
Under-Determined Tensor Diagonalization for Decomposition of Difficult Tensors |
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 |
263-266 |
publisher |
place |
Piscataway |
name |
IEEE |
year |
2017 |
|
|
keyword |
canonical polyadic decomposition |
keyword |
tensor decomposition |
keyword |
matrix multiplication |
author
(primary) |
ARLID |
cav_un_auth*0101212 |
share |
70 |
name1 |
Tichavský |
name2 |
Petr |
institution |
UTIA-B |
full_dept (cz) |
Stochastická informatika |
full_dept (eng) |
Department of Stochastic Informatics |
department (cz) |
SI |
department (eng) |
SI |
full_dept |
Department of Stochastic Informatics |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
author
|
ARLID |
cav_un_auth*0274170 |
share |
20 |
name1 |
Phan |
name2 |
A. H. |
country |
JP |
|
author
|
ARLID |
cav_un_auth*0274171 |
share |
10 |
name1 |
Cichocki |
name2 |
A. |
country |
JP |
|
source |
|
cas_special |
project |
ARLID |
cav_un_auth*0345929 |
project_id |
GA17-00902S |
agency |
GA ČR |
|
abstract
(eng) |
This paper deals with the Cramer-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)\nis 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 |
PR |
inst_support |
RVO:67985556 |
permalink |
http://hdl.handle.net/11104/0278758 |
confidential |
S |
mrcbC83 |
RIV/67985556:_____/17:00483430!RIV18-AV0-67985556 191975733 Doplnění UT WOS a Scopus |
mrcbC83 |
RIV/67985556:_____/17:00483430!RIV18-GA0-67985556 191965061 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 |
85051123821 SCOPUS |
mrcbU24 |
PUBMED |
mrcbU34 |
000428438100026 WOS |
mrcbU56 |
pdf 117623 |
mrcbU63 |
cav_un_epca*0483428 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) 2017 978-1-5386-1250-7 263 266 Piscataway IEEE 2017 |
|