| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0478273 |
| utime |
20240111140946.2 |
| mtime |
20170921235959.9 |
| SCOPUS |
85041459923 |
| WOS |
000426986000233 |
| DOI |
10.23919/EUSIPCO.2017.8081389 |
| title
(primary) (eng) |
Orthogonally constrained independent component extraction: Blind MPDR beamforming |
| specification |
| page_count |
6 s. |
| media_type |
C |
|
| serial |
| ARLID |
cav_un_epca*0478272 |
| ISBN |
978-0-9928626-7-1 |
| title
|
Proceedings of the 25th European Signal Processing Conference (EUSIPCO 2017) |
| page_num |
1195-1199 |
| publisher |
| place |
Atheny |
| name |
EURASIP |
| year |
2017 |
|
|
| keyword |
signals |
| keyword |
algorithms |
| keyword |
non-Gaussian distribution |
| author
(primary) |
| ARLID |
cav_un_auth*0230113 |
| name1 |
Koldovský |
| name2 |
Z. |
| country |
CZ |
|
| author
|
| ARLID |
cav_un_auth*0101212 |
| 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. |
|
| author
|
| ARLID |
cav_un_auth*0350114 |
| name1 |
Kautský |
| name2 |
V. |
| country |
CZ |
|
| source |
|
| cas_special |
| project |
| ARLID |
cav_un_auth*0345929 |
| project_id |
GA17-00902S |
| agency |
GA ČR |
|
| abstract
(eng) |
We propose a novel technique for the extraction of one independent component from an instantaneous linear complex-valued mixture of signals. The mixing model is optimized\nin terms of the number of parameters that are necessary to simultaneously estimate one column of the mixing matrix and one row of the de-mixing matrix, which both correspond to the desired source. The desired source is assumed to have a non-Gaussian distribution, while the other sources are modeled, for simplicity, as Gaussian-distributed, although in applications the other sources can be arbitrary. We propose an algorithm that can be interpreted as a blind self-steering Minimum-Power Distortionless Response (MPDR) beamformer. The method is compared with the popular Natural Gradient algorithm for general Independent Component Analysis. Their performances are\ncomparable but the proposed method has a lower computational complexity, in examples, it is about four times faster. |
| action |
| ARLID |
cav_un_auth*0350050 |
| name |
EUSIPCO 2017 - 25th European Signal Processing Conference |
| dates |
20170828 |
| mrcbC20-s |
20170902 |
| place |
Kos |
| country |
GR |
|
| 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/11104/0274425 |
| confidential |
S |
| mrcbC83 |
RIV/67985556:_____/17:00478273!RIV18-AV0-67985556 191975691 Doplnění UT WOS, Scopus a DOI |
| mrcbC83 |
RIV/67985556:_____/17:00478273!RIV18-GA0-67985556 191965027 Doplnění UT WOS, Scopus a DOI |
| mrcbC86 |
n.a. Proceedings Paper Engineering Electrical Electronic|Telecommunications |
| arlyear |
2017 |
| mrcbU14 |
85041459923 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
000426986000233 WOS |
| mrcbU56 |
132 kB |
| mrcbU63 |
cav_un_epca*0478272 Proceedings of the 25th European Signal Processing Conference (EUSIPCO 2017) 978-0-9928626-7-1 1195 1199 Atheny EURASIP 2017 |
|