| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0472594 |
| utime |
20240111140936.3 |
| mtime |
20170313235959.9 |
| SCOPUS |
85013448377 |
| WOS |
000418581400004 |
| DOI |
10.1007/978-3-319-53547-0 |
| title
(primary) (eng) |
Blind Source Separation of Single Channel Mixture Using Tensorization and Tensor Diagonalization |
| specification |
| page_count |
11 s. |
| media_type |
C |
|
| serial |
| ARLID |
cav_un_epca*0472593 |
| ISBN |
978-3-319-53546-3 |
| ISSN |
0302-9743 |
| title
|
Latent Variable Analysis and Signal Separation, 13th International Conference, LVA/ICA 2017 |
| page_num |
36-46 |
| publisher |
| place |
Cham |
| name |
Springer |
| year |
2017 |
|
| editor |
| name1 |
Tichavský |
| name2 |
Petr |
|
| editor |
| name1 |
Babaie-Zadeh |
| name2 |
Massoud |
|
| editor |
| name1 |
Michel |
| name2 |
Olivier J.J. |
|
| editor |
| name1 |
Thirion-Moreau |
| name2 |
Nadege |
|
|
| keyword |
blind source separation |
| keyword |
tensor diagonalization |
| keyword |
block-term decomposition |
| keyword |
damped sinusoid |
| author
(primary) |
| ARLID |
cav_un_auth*0274170 |
| name1 |
Phan |
| name2 |
A. H. |
| country |
JP |
|
| 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 |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0274171 |
| 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 estimation of structured signals such as damped sinusoids, exponentials, polynomials, and their products from single channel data. It is shown that building tensors from this kind of data results in tensors with hidden block structure which can be recovered through the tensor diagonalization. The tensor diagonalization means multiplying tensors by several matrices along its modes so that the outcome is approximately diagonal or block-diagonal of 3-rd order tensors. The proposed method can be applied to estimation of parameters of multiple damped sinusoids, and their products with polynomial. |
| action |
| ARLID |
cav_un_auth*0344250 |
| name |
Latent Variable Analysis and Signal Separation |
| dates |
20170221 |
| mrcbC20-s |
20170223 |
| place |
Grenoble |
| country |
FR |
|
| 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/11104/0271357 |
| confidential |
S |
| mrcbC86 |
n.a. Proceedings Paper Acoustics|Computer Science Theory Methods |
| mrcbC86 |
n.a. Proceedings Paper Acoustics|Computer Science Theory Methods |
| mrcbC86 |
n.a. Proceedings Paper Acoustics|Computer Science Theory Methods |
| mrcbT16-s |
0.328 |
| mrcbT16-4 |
Q2 |
| mrcbT16-E |
Q2 |
| arlyear |
2017 |
| mrcbU14 |
85013448377 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
000418581400004 WOS |
| mrcbU56 |
299 kB |
| mrcbU63 |
cav_un_epca*0472593 Latent Variable Analysis and Signal Separation, 13th International Conference, LVA/ICA 2017 978-3-319-53546-3 0302-9743 1611-3349 36 46 Cham Springer 2017 Lecture Notes in Computer Science 10169 |
| mrcbU67 |
340 Tichavský Petr |
| mrcbU67 |
340 Babaie-Zadeh Massoud |
| mrcbU67 |
340 Michel Olivier J.J. |
| mrcbU67 |
340 Thirion-Moreau Nadege |
|