Compression algorithm as a tool for EEG data processing

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F11%3A00187638" target="_blank" >RIV/68407700:21260/11:00187638 - isvavai.cz</a>
Result on the web
<a href="http://www.inista.org" target="_blank" >http://www.inista.org</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/INISTA.2011.5946169" target="_blank" >10.1109/INISTA.2011.5946169</a>

Result language
angličtina
Original language name
Compression algorithm as a tool for EEG data processing
Original language description
The paper presents a new methodology of finding and estimating main features of time series to achieve reduction of their components and thus providing the compression of information contained in it keeping the selected features invariant. The presentedcompression algorithm is based on estimation of truncated time series components in such a way that the spectrum functions of both original and truncated time series are sufficiently close together. In the end, the set of examples is shown to demonstratethe algorithm performance and to indicate the applications of the presented methodology on EEG (Electroencephalography) signals
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
INISTA 2011 - 2011 International Symposium on INnovations in Intelligent SysTems and Applications
ISBN
978-1-61284-920-1
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
616-620
Publisher name
IEEE Service Center
Place of publication
Piscataway
Event location
Istanbul
Event date
Jun 15, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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