| bibtype |
J -
Journal Article
|
| ARLID |
0396861 |
| utime |
20240903175012.8 |
| mtime |
20131031235959.9 |
| WOS |
000322334900004 |
| DOI |
10.1109/TASL.2013.2264674 |
| title
(primary) (eng) |
Semi-Blind Noise Extraction Using Partially Known Position of the Target Source |
| specification |
| page_count |
13 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0311609 |
| ISSN |
1558-7916 |
| title
|
IEEE Transactions on Audio Speech and Language Processing |
| volume_id |
21 |
| volume |
10 (2013) |
| page_num |
2029-2041 |
|
| keyword |
Independent component analysis |
| keyword |
noise extraction |
| keyword |
generalized sidelobe canceler |
| author
(primary) |
| ARLID |
cav_un_auth*0108100 |
| name1 |
Koldovský |
| name2 |
Zbyněk |
| full_dept (cz) |
Stochastická informatika |
| full_dept (eng) |
Department of Stochastic Informatics |
| department (cz) |
SI |
| department (eng) |
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*0050739 |
| name1 |
Málek |
| name2 |
J. |
| country |
CZ |
|
| 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*0295347 |
| name1 |
Nesta |
| name2 |
F. |
| country |
IT |
|
| source |
|
| cas_special |
| project |
| project_id |
GAP103/11/1947 |
| agency |
GA ČR |
| country |
CZ |
| ARLID |
cav_un_auth*0301478 |
|
| abstract
(eng) |
An extracted noise signal provides important information for subsequent enhancement of a target signal. When the target’s position is fixed, the noise extractor could be a target-cancellation filter derived in a noise-free situation. In this paper we consider a situation when such cancellation filters are prepared for a set of several possible positions of the target in advance. The set of filters is interpreted as prior information available for the noise extraction when the target’s exact position is unknown. Our novel method looks for a linear combination of the prepared filters via Independent Component Analysis. The method yields a filter that has a better cancellation performance than the individual filters or filters based on a minimum variance principle. The method is tested in a highly noisy and reverberant real-world environment with moving target source and interferers. A post-processing by Wiener filter using the noise signal extracted by the method is able to improve signal-to-noise ratio of the target by up to 8 dB. |
| reportyear |
2014 |
| RIV |
BI |
| num_of_auth |
4 |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0225513 |
| mrcbC62 |
1 |
| cooperation |
| ARLID |
cav_un_auth*0295064 |
| institution |
TUL |
| name |
Technická univerzita v Liberci |
| country |
CZ |
| mrcbC63-f |
Liberec |
|
| mrcbT16-e |
ACOUSTICS|ENGINEERINGELECTRICALELECTRONIC |
| mrcbT16-f |
2.583 |
| mrcbT16-g |
0.416 |
| mrcbT16-h |
4.0 |
| mrcbT16-i |
0.01051 |
| mrcbT16-j |
0.715 |
| mrcbT16-k |
3492 |
| mrcbT16-l |
219 |
| mrcbT16-s |
1.021 |
| mrcbT16-z |
ScienceCitationIndexExpanded |
| mrcbT16-4 |
Q1 |
| mrcbT16-B |
64.892 |
| mrcbT16-C |
84.738 |
| mrcbT16-D |
Q2 |
| mrcbT16-E |
Q2 |
| arlyear |
2013 |
| mrcbU34 |
000322334900004 WOS |
| mrcbU56 |
3.05 MB |
| mrcbU63 |
cav_un_epca*0311609 IEEE Transactions on Audio Speech and Language Processing 1558-7916 1558-7924 Roč. 21 č. 10 2013 2029 2041 |
|