Design and Implementation of Probabilistic Methods for Spectrum Sensing in Cognitive Radios

Autor: Stanislav Ivanenko, Andrii Ponomarov, Oleksii Fedorov, Valeriy Bezruk, Jan Pidanic, Petr Doleiioel

Publikováno v: 2022 IEEE Asia Pacific Conference on Wireless and Mobile (APWiMob).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5c0f20e1bae64afc3fd1342b8be930cb
https://doi.org/10.1109/apwimob56856.2022.10014247

Methods of Signal Detection and Recognition in Cognitive Radio Networks

Autor: Valeriy Bezruk, Oleksii Fedorov, Stanislav Ivanenko

Publikováno v: Current Trends in Communication and Information Technologies ISBN: 9783030763428

The paper employs techniques of signal detection and recognition to perform spectrum sensing in cognitive radio networks. The main focus is on extensive use of signal recognition techniques, which is not the case yet in the context of cognitive radio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bf4da733cfd612643cec56c666d39ba1
https://doi.org/10.1007/978-3-030-76343-5_5

Tuning Parameters of the Koch and Zhao Stego Algorithm

Autor: Anatolii Omelchenko, Oleksii Fedorov, Andrii Yaurov

Publikováno v: 2019 29th International Conference Radioelektronika (RADIOELEKTRONIKA).

This paper assumes that the Laplacian model is valid for the middle frequency DCT coefficients of a JPEG image and considers embedding with a two coefficient version of the Koch and Zhao stego algorithm. Under some mederate conditions, one can get a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d120e7f8b2b6acb50b0e42ffaa5dd734
https://doi.org/10.1109/radioelek.2019.8733473

Selection and Recognition of Statistically Defined Signals in Learning Systems

Autor: Valeriy Bezruk, Anatolii Omelchenko, Juan Ivan Nieto Hipolito, Paolo Mercorelli, Oleksii Fedorov

Publikováno v: Bezruk, V, Omelchenko, A, Fedorov, O, Mercorelli, P & Nieto Hipólito, J I 2018, Selection and Recognition of Statistically Defined Signals in Learning Systems . in IECON 2018-44th Annual Conference of the IEEE Industrial Electronics Society : Proceedings ., 8591321, Proceedings: IECON 2018-44th Annual Conference of the IEEE Industrial Electronics Society, IEEE-Institute of Electrical and Electronics Engineers Inc., Piscataway, pp. 3211-3216 . https://doi.org/10.1109/IECON.2018.8591321
IECON
Bezruk, V, Omelchenko, A, Fedorov, O, Mercorelli, P & Nieto Hipólito, J I 2018, Selection and Recognition of Statistically Defined Signals in Learning Systems . in IECON 2018-44th Annual Conference of the IEEE Industrial Electronics Society : Proceedings . IEEE, Piscataway, pp. 3211-3216 . DOI: 10.1109/IECON.2018.8591321

The paper addresses a non-traditional problem of pattern recognition, when information about pattern is represented in the form of a random signal taken from the output of a corresponding physical sensor. It is supposed that there exist two types of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::733bee88bd728456c863d0482133a530
http://fox.leuphana.de/portal/de/publications/selection-and-recognition-of-statistically-defined-signals-in-learning-systems(1dbd3acb-e405-454b-be0c-064e98a8a070).html

A referenceless PSNR estimator of compressed JPEG images

Autor: Oleksii Fedorov, Mykhailo Rodyhin

Publikováno v: 2016 26th International Conference Radioelektronika (RADIOELEKTRONIKA).

The paper develops a universal procedure to estimate the level of distortions caused by the JPEG compression of an image of any structural content. To determine the quality, we use the PSNR metric. The procedure allows us to employ different stochast

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ad2bec07cf9b2e5fd6857e2b080c7e5e
https://doi.org/10.1109/radioelek.2016.7477432