| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0324169 |
| utime |
20240111140718.7 |
| mtime |
20090512235959.9 |
| title
(primary) (eng) |
A Fast Asymptotically Efficient Algorithm for Blind Separation of a Linear Mixture of Block-Wise Stationary Autoregressive Processes |
| specification |
| page_count |
4 s. |
| media_type |
www |
|
| serial |
| ARLID |
cav_un_epca*0324200 |
| ISBN |
978-1-4244-2354-5 |
| title
|
Proceedings of 34th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) |
| page_num |
3133-3136 |
| publisher |
| place |
Taipei |
| name |
IEEE |
| year |
2009 |
|
|
| title
(cze) |
Rychlý asymptoticky eficientní algoritmus pro slepou separaci lineární směsi po blocích stacionárních autoregresních procesů |
| keyword |
Approximate joint diagonalization |
| keyword |
blind source separation, |
| keyword |
autoregressive processes |
| keyword |
second-order statistics |
| author
(primary) |
| ARLID |
cav_un_auth*0101212 |
| name1 |
Tichavský |
| name2 |
Petr |
| 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*0213973 |
| name1 |
Yeredor |
| name2 |
A. |
| country |
IL |
|
| author
|
| ARLID |
cav_un_auth*0108100 |
| name1 |
Koldovský |
| name2 |
Zbyněk |
| institution |
UTIA-B |
| full_dept |
Department of Stochastic Informatics |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| project_id |
1M0572 |
| agency |
GA MŠk |
| ARLID |
cav_un_auth*0001814 |
|
| project |
| project_id |
GP102/07/P384 |
| agency |
GA ČR |
| country |
CZ |
| ARLID |
cav_un_auth*0227962 |
|
| research |
CEZ:AV0Z10750506 |
| abstract
(eng) |
We propose a novel blind source separation algorithm called Block AutoRegressive Blind Identification (BARBI). The algorithm is asymptotically efficient in separation of instantaneous linear mixtures of blockwise stationary Gaussian autoregressive processes. A novel closed-form formula is derived for a Cramer Rao lower bound on elements of the corresponding Interference-to-Signal Ratio (ISR) matrix. This theoretical ISR matrix can serve as an estimate of the separation performance on the particular data. In simulations, the algorithm is shown to be applicable in blind separation of a linear mixture of speech signals. |
| abstract
(cze) |
V práci je navržen nový algoritmus pro slepou separaci signálů. Algoritmus je optimalizován pro separaci po blocích stacionárních procesů, a pokud separované procesz mají Gaussovské rozložení, je též asymptoticky eficientní. Algoritmus je testován na separaci lineární směsi řečových signálů. |
| action |
| ARLID |
cav_un_auth*0250444 |
| name |
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2009 /34./ |
| place |
Taipei |
| dates |
19.04.2009-24.04.2009 |
| country |
TW |
|
| reportyear |
2009 |
| RIV |
BB |
| permalink |
http://hdl.handle.net/11104/0171930 |
| arlyear |
2009 |
| mrcbU56 |
pdf |
| mrcbU63 |
cav_un_epca*0324200 Proceedings of 34th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 978-1-4244-2354-5 3133 3136 Taipei IEEE 2009 |
|