Orthogonally constrained independent component extraction: Blind MPDR beamforming

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F17%3A00478273" target="_blank" >RIV/67985556:_____/17:00478273 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.23919/EUSIPCO.2017.8081389" target="_blank" >http://dx.doi.org/10.23919/EUSIPCO.2017.8081389</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.23919/EUSIPCO.2017.8081389" target="_blank" >10.23919/EUSIPCO.2017.8081389</a>

Result language
angličtina
Original language name
Orthogonally constrained independent component extraction: Blind MPDR beamforming
Original language description
We propose a novel technique for the extraction of one independent component from an instantaneous linear complex-valued mixture of signals. The mixing model is optimizednin terms of the number of parameters that are necessary to simultaneously estimate one column of the mixing matrix and one row of the de-mixing matrix, which both correspond to the desired source. The desired source is assumed to have a non-Gaussian distribution, while the other sources are modeled, for simplicity, as Gaussian-distributed, although in applications the other sources can be arbitrary. We propose an algorithm that can be interpreted as a blind self-steering Minimum-Power Distortionless Response (MPDR) beamformer. The method is compared with the popular Natural Gradient algorithm for general Independent Component Analysis. Their performances arencomparable but the proposed method has a lower computational complexity, in examples, it is about four times faster.
Czech name
—
Czech description
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Project
<a href="/en/project/GA17-00902S" target="_blank" >GA17-00902S: Advanded Joint Blind Source Separation Methods</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 25th European Signal Processing Conference (EUSIPCO 2017)
ISBN
978-0-9928626-7-1
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
1195-1199
Publisher name
EURASIP
Place of publication
Atheny
Event location
Kos
Event date
Aug 28, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000426986000233

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