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http://elartu.tntu.edu.ua/handle/lib/42617Повний запис метаданих
| Поле DC | Значення | Мова |
|---|---|---|
| dc.contributor.author | Khvostivska, Liliia | - |
| dc.contributor.author | Khvostivskyi, Mykola | - |
| dc.contributor.author | Dediv, Iryna | - |
| dc.contributor.author | Yatskiv, Vasyl | - |
| dc.contributor.author | Palaniza, Yuri | - |
| dc.date.accessioned | 2023-10-01T16:30:47Z | - |
| dc.date.available | 2023-10-01T16:30:47Z | - |
| dc.date.issued | 2023-06-14 | - |
| dc.identifier.citation | Khvostivska L., Khvostivskyi M., Dediv I., Yatskiv V., Palaniza Y. Method, Algorithm and Computer Tool for Synphase Detection of Radio Signals in Telecommunication Networks with Noises. Proceedings of the 1st International Workshop on Computer Information Technologies in Industry 4.0 (CITI 2023). CEUR Workshop Proceedings. Ternopil, Ukraine, June 14-16, 2023. P.173-180. ISSN 1613-0073. | uk_UA |
| dc.identifier.issn | 1613-0073 | - |
| dc.identifier.uri | http://elartu.tntu.edu.ua/handle/lib/42617 | - |
| dc.description.abstract | The article represents a model of radio signals as a periodically correlated stochastic process, which made it possible to implement a synphase method of effective detection of radio signals in telecommunication networks with noises. Based on the synphase processing method, a method and algorithm for detecting radio signals in telecommunication networks with noises is implemented by calculating correlation components as quantitative indicators that reliably reflect the fact of the presence/absence of a useful radio signal component. A computer (software) tool for synphase detection of radio signals in telecommunication networks with a graphical user interface is implemented in the Matlab environment. The process of synphase detection of radio signals in telecommunication networks with noise of different power which confirmed the correct functioning of the developed method and algorithm of synphase detection of radio signals. | uk_UA |
| dc.description.tableofcontents | Abstract; 1. Introduction; 2. Mathematical representation of the model of radio signals in telecommunication networks; 3. Method and algorithm of synphase detection of radio signals; 4. Results of detection of radio signals; 4. A computer tool for detecting radio signals; 5. Conclusions; 6. References | uk_UA |
| dc.format.extent | 173-180 | - |
| dc.language.iso | en | uk_UA |
| dc.publisher | CEUR Workshop Proceedings | uk_UA |
| dc.relation.uri | https://ceur-ws.org/Vol-3468/short10.pdf | uk_UA |
| dc.subject | Radio signal | uk_UA |
| dc.subject | periodically correlated stochastic process | uk_UA |
| dc.subject | synphase method, algorithm | uk_UA |
| dc.subject | computer tool | uk_UA |
| dc.subject | detection, noise | uk_UA |
| dc.subject | telecommunication network | uk_UA |
| dc.title | Method, Algorithm and Computer Tool for Synphase Detection of Radio Signals in Telecommunication Networks with Noises | uk_UA |
| dc.type | Conference Abstract | uk_UA |
| dc.rights.holder | @ Liliia Khvostivska, Mykola Khvostivskyi, Iryna Dediv, Vasyl Yatskiv, Yuri Palaniza | uk_UA |
| dc.coverage.placename | CEUR Workshop Proceedings. Ternopil, Ukraine | uk_UA |
| dc.relation.referencesen | [1] Yu.É. Korchagin, K.D. Titov Detection of an Ultra-Wideband Quasi Radio Signal with Unknown Duration Against the Background of White Noise. Radiophysics and Quantum Electronics volume 61, pp.853–866 (2019). DOI: 10.1007/s11141-019-09942-5. | uk_UA |
| dc.relation.referencesen | [2] Trifonov A.P., Korchagin Yu.É., Trifonov M.V.. Detection of Radio Signals with Unknown Duration, Amplitude, and Initial Phase. Radiophysics and Quantum Electronics, Volume 58, Issue 5, pp.361-372. October 2015. doi: 10.1007/s11141-015-9610-5. | uk_UA |
| dc.relation.referencesen | [3] Laptiev O., Polovinkin I., Vitalii S., Stefurak O., Barabash O. and Zelikovska O. The Method of Improving the Signal Detection Quality by Accounting for Interference. 2020 IEEE 2nd International Conference on Advanced Trends in Information Theory (ATIT), 2020, pp. 172-175. doi: 10.1109/ATIT50783.2020.9349259. | uk_UA |
| dc.relation.referencesen | [4] Kolumbán G., Krébesz T. Chaotic Communications with Autocorrelation Receiver: Modeling, Theory and Performance Limits. Intelligent Computing Based on Chaos, 2009, SCI 184, pp. 121– 143. doi: 10.1007/978-3-540-95972-4_6. | uk_UA |
| dc.relation.referencesen | [5] Dragan Y.P. Energy theory of linear models of stochastic signals. Lviv: Center for Strategic Studies of Eco-Bio-Technical Systems. 1997. XVI+333 p. | uk_UA |
| dc.relation.referencesen | [6] Khvostivska L.V., Koval L.M. Detection of useful radio signals as periodically correlated stochastic processes under conditions of a priori uncertainty [Виявлення корисних радіосигналів як періодично корельованих випадкових процесів в умовах апріорної невизначеності]. Materials of the 4th All-Ukrainian scientific and practical Internet conference of students, postgraduates and young scientists on the topic "Modern computer systems and networks in management": a collection of scientific works / Edited by G.O. Rayko. Kherson: Publishing House FOP Vyshemirskyi V.S., 2021. P.133. | uk_UA |
| dc.relation.referencesen | [7 Khvostivska L., Khvostivskyy M., Dunetc V., Dediv I. Mathematical and Algorithmic Support of Detection Useful Radiosignals in Telecommunication Networks. CEUR Workshop Proceedings. 2nd International Workshop on Information Technologies: Theoretical and Applied Problems, ITTAP 2022 Ternopil 22-24 November 2022. P. 314-318. | uk_UA |
| dc.relation.referencesen | [8] Dragan Y.P., Osukhivska H.M., Khvostivskyi M.O. Justification of the mathematical model of the electroretinographic signal in the form of a periodically correlated stochastic process [Обґрунтування математичної моделі електроретинографічного сигналу у вигляді періодично корельованого випадкового процесу]. Computer technologies of printing. Lviv: Ukrainian Academy of Printing, 2007, Vol.18, pp. 129-138. | uk_UA |
| dc.relation.referencesen | [9] Yavorskyi B., Khvostivska L., Yavorska Ye. (2013) The relevance of the use of in-phase and component methods for the analysis of the pulse signal of human vessels [Актуальність застосування синфазного та компонентного методів щодо аналізу пульсового сигналу судин людини]. Materials of ⅩⅦ Conference TNTU I. Pul'uj (Tern., 20-21 November 2013), Vol. I, pp. 45. | uk_UA |
| dc.relation.referencesen | [10] Hvostivska L.V., Osukhivska H.M., Hvostivskyy M.O., Shadrina H.M., Dediv I.Yu. Development of methods and algorithms for a stochastic biomedical signal period calculation in medical computer diagnostic systems [Розвиток методів та алгоритмів обчислення періоду стохастичних біомедичних сигналів для медичних комп’ютерно-діагностичних систем]. Visnyk NTUU KPI Seriia - Radiotekhnika Radioaparatobuduvannia, (79), pp. 78-84. doi: 10.20535/RADAP.2019.79.78-84. | uk_UA |
| dc.relation.referencesen | [11] Khvostivskyi M.O. A mathematical model of macromechanism of forming of electroretinosignal is for the increase of authenticity of the oftalmodiagnostic systems [Математична модель макромеханізму формування електроретиносигналу для підвищення достовірності офтальмодіагностичних систем]: abstract of the dissertation for obtaining the scientific degree of candidate of technical sciences: 01.05.02. Ternopil, 2010. 20 p. | uk_UA |
| dc.relation.referencesen | [12] Martsenyuk, V., Sverstiuk, A., Bahrii-Zaiats, O., Rudyak, Y., Shelestovskyi, B. Software complex in the study of the mathematical model of cyber-physical systems. CEUR Workshop Proceedings, 2020, Vol. 2762, pp. 87-97. | uk_UA |
| dc.relation.referencesen | [13] Martsenyuk, V., Klos-Witkowska, A., Sverstiuk, A., Bernas, M., Witos, K. Intelligent big data system based on scientific machine learning of cyber-physical systems of medical and biological processes. CEUR Workshop Proceedings, 2021, Vol. 2864, pp. 34-48. | uk_UA |
| dc.relation.referencesen | [14] Khvostivska L.V., Kazmiriv V.V., Remez A.V. (2022) Wavelet processing of radiosignals for the problem of their detection against the background of interferences [Вейвлет обробка радіосигналів для задачі їх виявлення на фоні завад]. ⅩⅠ International scientific and practical conference of young researchers and students „Current issues in modern technologies“ (Tern., 7- 8 December 2022), pp. 119-120. | uk_UA |
| dc.coverage.country | UA | uk_UA |
| Розташовується у зібраннях: | Наукові публікації працівників кафедри біотехнічних систем | |
Файли цього матеріалу:
| Файл | Опис | Розмір | Формат | |
|---|---|---|---|---|
| Method, Algorithm and Computer Tool for Synphase Detection of Radio Signals in Telecommunication Networks with Noises.pdf | Khvostivska L., Khvostivskyi M., Dediv I., Yatskiv V., Palaniza Y. Method, Algorithm and Computer Tool for Synphase Detection of Radio Signals in Telecommunication Networks with Noises. Proceedings of the 1st International Workshop on Computer Information Technologies in Industry 4.0 (CITI 2023). CEUR Workshop Proceedings. Ternopil, Ukraine, June 14-16, 2023. P.173-180. ISSN 1613-0073 | 1,63 MB | Adobe PDF | Переглянути/відкрити |
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