| bibtype |
J -
Journal Article
|
| ARLID |
0424112 |
| utime |
20240103203801.1 |
| mtime |
20140129235959.9 |
| SCOPUS |
84887029914 |
| WOS |
000326120300001 |
| DOI |
10.1109/LSP.2013.2285932 |
| title
(primary) (eng) |
A Two-Stage MMSE Beamformer for Underdetermined Signal Separation |
| specification |
| page_count |
4 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0253212 |
| ISSN |
1070-9908 |
| title
|
IEEE Signal Processing Letters |
| volume_id |
20 |
| volume |
12 (2013) |
| page_num |
1227-1230 |
| publisher |
| name |
Institute of Electrical and Electronics Engineers |
|
|
| keyword |
beamforming |
| keyword |
underdetermined mixtures |
| keyword |
blind source separation |
| author
(primary) |
| ARLID |
cav_un_auth*0108100 |
| full_dept (cz) |
Stochastická informatika |
| full_dept (eng) |
Department of Stochastic Informatics |
| department (cz) |
SI |
| department (eng) |
SI |
| full_dept |
Department of Stochastic Informatics |
| name1 |
Koldovský |
| name2 |
Zbyněk |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101212 |
| full_dept (cz) |
Stochastická informatika |
| full_dept |
Department of Stochastic Informatics |
| department (cz) |
SI |
| department |
SI |
| full_dept |
Department of Stochastic Informatics |
| name1 |
Tichavský |
| name2 |
Petr |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0274170 |
| name1 |
Phan |
| name2 |
A. H. |
| country |
JP |
|
| author
|
| ARLID |
cav_un_auth*0274171 |
| name1 |
Cichocki |
| name2 |
A. |
| country |
JP |
|
| source |
|
| cas_special |
| project |
| ARLID |
cav_un_auth*0301478 |
| project_id |
GAP103/11/1947 |
| agency |
GA ČR |
| country |
CZ |
|
| abstract
(eng) |
Blind separation of underdetermined instantaneous mixtures is a popular solution to inverse problems encountered in audio or biomedical applications where the number of sources exceeds the number of sensors. There are two non-equivalent tasks: to identify the mixing matrix and to separate the original sources. In this paper, we focus on the latter task by proposing a novel beamformer that minimizes the theoretical mean square error distance between the separated and original signals. The beamformer has two stages: one for the estimation of signals and one for their refinement. Within the former stage, the signals are assumed to be random and locally stationary, while the latter stage is based on a semi-deterministic model. The experiments prove superior performance of the proposed method compared to conventional MMSE beamforming. |
| RIV |
BB |
| reportyear |
2014 |
| num_of_auth |
4 |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0230619 |
| mrcbT16-e |
ENGINEERINGELECTRICALELECTRONIC |
| mrcbT16-f |
1.718 |
| mrcbT16-g |
0.264 |
| mrcbT16-h |
6.IV |
| mrcbT16-i |
0.01450 |
| mrcbT16-j |
0.797 |
| mrcbT16-k |
4223 |
| mrcbT16-l |
295 |
| mrcbT16-s |
0.785 |
| mrcbT16-z |
ScienceCitationIndexExpanded |
| mrcbT16-4 |
Q1 |
| mrcbT16-B |
66.128 |
| mrcbT16-C |
64.718 |
| mrcbT16-D |
Q2 |
| mrcbT16-E |
Q2 |
| arlyear |
2013 |
| mrcbU14 |
84887029914 SCOPUS |
| mrcbU34 |
000326120300001 WOS |
| mrcbU63 |
cav_un_epca*0253212 IEEE Signal Processing Letters 1070-9908 1558-2361 Roč. 20 č. 12 2013 1227 1230 Institute of Electrical and Electronics Engineers |
|