Performance Bound for Blind Extraction of Non-Gaussian Complex-Valued Vector Component from Gaussian Background

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F19%3A00006962" target="_blank" >RIV/46747885:24220/19:00006962 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21340/19:00344850
Result on the web
<a href="https://asap.ite.tul.cz/wp-content/uploads/sites/3/2019/05/icassp2019_CRLB.pdf" target="_blank" >https://asap.ite.tul.cz/wp-content/uploads/sites/3/2019/05/icassp2019_CRLB.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICASSP.2019.8683885" target="_blank" >10.1109/ICASSP.2019.8683885</a>

Result language
angličtina
Original language name
Performance Bound for Blind Extraction of Non-Gaussian Complex-Valued Vector Component from Gaussian Background
Original language description
Independent Vector Extraction aims at the joint blind source extraction of K dependent signals of interest (SOI) from K mixtures (one signal from one mixture). Similarly to Independent Component/Vector Analysis (ICA/IVA), the SOIs are assumed to be independent of the other signals in the mixture. Compared to IVA, the (de-)mixing IVE model is reduced in the number of parameters for the extraction problem. The SOIs are assumed to be non-Gaussian or noncircular Gaussian, while the other signals are modeled as circular Gaussian. In this paper, a Cramer-Rao-Induced Bound (CRIB) for the achievable Interference-to-Signal Ratio (ISR) is derived for IVE. The bound is compared with similar bounds for ICA, IVA, and Independent Component Extraction (ICE). Numerical simulations show a good correspondence between the empirical results and the theory.
Czech name
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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
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISBN
978-1-4799-8131-1
ISSN
1520-6149
e-ISSN
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Number of pages
5
Pages from-to
5287-5291
Publisher name
IEEE
Place of publication
Brighton, England
Event location
Brighton
Event date
Jan 1, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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