Threshold selection based on extreme value theory
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F18%3A00320673" target="_blank" >RIV/68407700:21230/18:00320673 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-65960-2_65" target="_blank" >http://dx.doi.org/10.1007/978-3-319-65960-2_65</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-65960-2_65" target="_blank" >10.1007/978-3-319-65960-2_65</a>
Alternative languages
Result language
angličtina
Original language name
Threshold selection based on extreme value theory
Original language description
Almost every practical technique dealing with a detection of events in signals uses a technique of thresholding. The quality of the method performance often depends heavily on the threshold selection. In this paper, assuming that the signal values are bounded, we propose a simple practical method of threshold determination based on signal maxima sampling. We also present the relation between the ad hoc version of the method and the extreme value theory. In fact, it is shown that the method follows the extreme value theory conclusions if their asymptotic assumptions are satisfied by the given practical problem. The experimental results confirm the performance of the method we have applied in projects to different signal domains for many years. 2018, Springer International Publishing AG.
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
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA16-07210S" target="_blank" >GA16-07210S: Complex Networks Methods Applied to Ancient Egypt Data in the Old Kingdom (2700-2180 BC)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Recent Technological and Scientific Advances
ISBN
978-3-319-65959-6
ISSN
2194-5357
e-ISSN
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Number of pages
9
Pages from-to
529-537
Publisher name
Springer, Cham
Place of publication
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Event location
Brno
Event date
Sep 6, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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