| bibtype |
J -
Journal Article
|
| ARLID |
0427607 |
| utime |
20240103204149.4 |
| mtime |
20140519235959.9 |
| WOS |
000334676700007 |
| DOI |
10.1109/MSP.2014.2298045 |
| title
(primary) (eng) |
Joint Matrices Decompositions and Blind Source Separation |
| specification |
| page_count |
10 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0253213 |
| ISSN |
1053-5888 |
| title
|
IEEE Signal Processing Magazine |
| volume_id |
31 |
| volume |
3 (2014) |
| page_num |
34-43 |
|
| keyword |
joint matrices decomposition |
| keyword |
tensor decomposition |
| keyword |
blind source separation |
| author
(primary) |
| ARLID |
cav_un_auth*0302679 |
| name1 |
Chabriel |
| name2 |
G. |
| country |
FR |
| share |
10 |
|
| author
|
| ARLID |
cav_un_auth*0302680 |
| name1 |
Kleinsteuber |
| name2 |
M. |
| country |
DE |
| share |
10 |
|
| author
|
| ARLID |
cav_un_auth*0302681 |
| name1 |
Moreau |
| name2 |
E. |
| country |
FR |
| share |
10 |
|
| author
|
| ARLID |
cav_un_auth*0302682 |
| name1 |
Shen |
| name2 |
H. |
| country |
DE |
| share |
10 |
|
| author
|
| ARLID |
cav_un_auth*0101212 |
| name1 |
Tichavský |
| name2 |
Petr |
| full_dept (cz) |
Stochastická informatika |
| full_dept |
Department of Stochastic Informatics |
| department (cz) |
SI |
| department |
SI |
| institution |
UTIA-B |
| full_dept |
Department of Stochastic Informatics |
| share |
50 |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0213973 |
| name1 |
Yeredor |
| name2 |
A. |
| country |
IL |
| share |
10 |
|
| source |
|
| cas_special |
| project |
| project_id |
GA102/09/1278 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0253174 |
|
| abstract
(eng) |
This article provides a comprehensive survey of matrix joint decomposition techniques in the context of source separation. More precisely, we first intend to elaborate upon the signal models leading to different useful sets of matrices and their joint decompositions. Second, we present recent identifiability results and algorithms in distinguishing important classes. |
| reportyear |
2015 |
| RIV |
BB |
| num_of_auth |
6 |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0233600 |
| confidential |
S |
| mrcbT16-e |
ENGINEERINGELECTRICALELECTRONIC |
| mrcbT16-j |
2.891 |
| mrcbT16-s |
1.710 |
| mrcbT16-4 |
Q1 |
| mrcbT16-B |
99.13 |
| mrcbT16-C |
98.594 |
| mrcbT16-D |
Q1* |
| mrcbT16-E |
Q1* |
| arlyear |
2014 |
| mrcbU34 |
000334676700007 WOS |
| mrcbU63 |
cav_un_epca*0253213 IEEE Signal Processing Magazine 1053-5888 1558-0792 Roč. 31 č. 3 2014 34 43 |
|