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%2F68407700%3A21340%2F19%3A00344850" target="_blank" >RIV/68407700:21340/19:00344850 - isvavai.cz</a>
Alternative codes found
RIV/46747885:24220/19:00006962
Result on the web
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DOI - Digital Object Identifier
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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
10102 - Applied mathematics
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
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 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 Signal Processing Society
Place of publication
New Jersey
Event location
Brighton
Event date
May 12, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000482554005104