Under-Determined Tensor Diagonalization for Decomposition of Difficult Tensors

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F17%3A00483430" target="_blank" >RIV/67985556:_____/17:00483430 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/CAMSAP.2017.8313082" target="_blank" >http://dx.doi.org/10.1109/CAMSAP.2017.8313082</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CAMSAP.2017.8313082" target="_blank" >10.1109/CAMSAP.2017.8313082</a>

Result language
angličtina
Original language name
Under-Determined Tensor Diagonalization for Decomposition of Difficult Tensors
Original language description
This paper deals with the Cramer-Rao Lower Bound (CRLB) for a novel blind source separation method called Independent Component Extraction (ICE). Compared to Independent Component Analysis (ICA), ICE aims to extract only one independent signal from a linear mixture. The target signal is assumed to be non-Gaussian, while the other signals, which are not separated, are modeled as a Gaussian mixture. A CRLBinduced Bound (CRIB) for Interference-to-Signal Ratio (ISR)nis derived. Numerical simulations compare the CRIB with the performance of an ICA and an ICE algorithm. The results show good agreement between the theory and the empirical results.
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
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) 2017
ISBN
978-1-5386-1250-7
ISSN
—
e-ISSN
—
Number of pages
4
Pages from-to
263-266
Publisher name
IEEE
Place of publication
Piscataway
Event location
Curacao
Event date
Dec 10, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000428438100026

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