Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/50936
Type of publication: research article
Type of publication (PDB): Straipsnis konferencijos medžiagoje Clarivate Analytics Web of Science ar/ir Scopus / Article in Clarivate Analytics Web of Science or Scopus DB conference proceedings (P1a)
Field of Science: Informatika / Informatics (N009)
Author(s): Čeidaitė, Gintarė;Telksnys, Adolfas Laimutis
Title: Estimation of the environmental impact on the accuracy of signal recognition
Is part of: ICIST 2013: Information and software technologies : 19th international conference, Kaunas, Lithuania, October 10-11, 2013 : proceedings. Berlin : Springer
Extent: p. 261-271
Date: 2013
Series/Report no.: (Communications in Computer and Information Science, Vol. 403, 1865-0929)
Keywords: Random signals recognition;Adaptive recognition modelling;Recognitions accurate estimation
ISBN: 9783642419461
Abstract: The problem of the random signals recognition system’s adaptation to the variable environmental conditions is discussed. The constructive method that demonstrates possibilities to create recognition systems able to adapt to changing working conditions. The efficiency of the method is demonstrated by experiment analyzing the recognition of random signals in environments with different characteristics. The results demonstrate that the suggested method also can be useful in the development of the speech recognition devices operating in various environments
Internet: https://doi.org/10.1007/978-3-642-41947-8_22
Affiliation(s): Matematikos ir informatikos institutas
Sistemų analizės katedra
Vytauto Didžiojo universitetas
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

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