Performance bound for blind extraction of non-Gaussian complex-valued vector component from Gaussian background
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F19%3A00505138" target="_blank" >RIV/67985556:_____/19:00505138 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ICASSP.2019.8683885" target="_blank" >http://dx.doi.org/10.1109/ICASSP.2019.8683885</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICASSP.2019.8683885" target="_blank" >10.1109/ICASSP.2019.8683885</a>
Alternative languages
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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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
<a href="/en/project/GA17-00902S" target="_blank" >GA17-00902S: Advanded Joint Blind Source Separation Methods</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2019 IEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP 2019
ISBN
978-1-4799-8130-4
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
5287-5291
Publisher name
IEEE
Place of publication
Brighton, UK
Event location
Brighton
Event date
May 12, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000482554005104