يعرض 1 - 10 نتائج من 185 نتيجة بحث عن '"signal envelope"', وقت الاستعلام: 1.35s تنقيح النتائج
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    المصدر: Journal of the Russian Universities. Radioelectronics; Том 26, № 5 (2023); 40-49 ; Известия высших учебных заведений России. Радиоэлектроника; Том 26, № 5 (2023); 40-49 ; 2658-4794 ; 1993-8985

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    العلاقة: https://re.eltech.ru/jour/article/view/798/711Test; Rembovsky A., Ashikhmin A., Kozmin V., Smolskiy S. Radio Monitoring: Problems, Methods and Equipment. Lecture notes in electrical engineering. Springer, 2009, 530 p. doi:10.1007/978-0-387-98100-0; Kuptsov V., Badenko V., Ivanov S., Fedotov A. Method for Remote Determination of Object Coordinates in Space Based on Exact Analytical Solution of Hyperbolic Equations. Sensors. 2020, vol. 20, no. 19, p. 5472. doi:10.3390/s20195472; Nguyen T. N., Podstrigaev A. S., Leonov I. E. Mathematical Model of Signal Modulation Type Recognizing Algorithm in the Autocorrelation Receiver for Radio Engineering Monitoring Means. Trudy MAI. 2020, no. 113, p. 11. doi:10.34759/trd-2020-113-09 (In Russ.); Dvornikov S. V., Sivers M. A., Dvornikov A. S., Dvornikov S. S. Signal Recognition Based on the Probabilistic Evaluation of the Dispersion of Their Sign Vectors. Voprosy radioelektroniki, seriya Tekhnika televideniya [Issues of Radio Electronics, a Series of Television Technology]. 2020, no. 3, pp. 81–90. (In Russ.); Utkin V. V., Korotkov V. A., Voynov D. C. Wavelet Filtration Application While Radio Technical Monitoring. The Herald of the Siberian State University of Telecommunications and Information Science. 2018, no. 1(41), pp. 64–71. (In Russ.); Nikitin N. S., Darovskikh S. N. Synthesis of the Algorithm Identification of Signals with Linear Frequency Modulation. Bulletin of the Ural Federal District. Security in the Sphere of Information. 2019, no. 3(33), pp. 12–19. doi:10.14529/secur190302 (In Russ.); Lihachev V. P., Veselkov A. A., Nguen Ch. N. Ustroistvo dlya izmereniya kharakteristik sluchainykh protsessov [Method for Determining the Types of Radar Signals in an Autocorrelation Receiver]. Pat. RF, 2019, no. 2683791. (In Russ.); Kubankova A. Design and Analysis of New Digital Modulation Classification Method. 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Conf. on Electrical Engineering and Photonics (EExPolytech). St. Petersburg, Russia, 20–21 Oct. 2022. IEEE, 2022, pp. 91–94. doi:10.1109/EExPolytech56308.2022.9950890; Tran H. N., Podstrigaev А. S., Nguyen T. N. Sposob klassifikacii signalov [Signal Classification Method]. Pat. RF, no. 2789386, 2023. (In Russ.); Prakasam P., Madheswaran M. Digital Modulation Identification Model Using Wavelet Transform and Statistical Parameters. J. of Computer Networks and Communications. 2008, vol. 2008, pp. 1–8. doi:10.1155/2008/175236; Dvornikov S. V., Saukov A. M. Signal Identification Method Based on Wavelet-Packets. Nauchnoe Priborostroenie [Scientific Instrumentation]. 2004, vol. 14, no. 1, pp. 85–93. (In Russ.); Stogov A. A., Tereshonok M. V., Chirov D. S., Kuzmin G. V. Modulation Type Recognition Using High Order Cumulants. T-Comm. 2012, no. 1, pp. 56–58. (In Russ.); Swami A., Sadler B. M. Hierarchical Digital Modulation Classification Using Cumulants. IEEE Transactions on Communications. 2000, vol. 48, no. 3, pp. 416–429. doi:10.1109/26.837045; Dobre O. A., Rajan S., Inkol R. Joint Signal Detection and Classification Based on First-Order Cyclostationarity for Cognitive Radios. EURASIP J. on Advances in Signal Processing. 2009, vol. 2009, pp. 1–12. doi:10.1155/2009/656719; Chilukuri R. K., Kakarla H. K., Subbarao K. Estimation of Modulation Parameters of LPI Radar Using Cyclostationary Method. Sensing and Imaging. 2020, vol. 21, pp. 1–20. doi:10.1007/s11220-020-00313-3; Milne P. R., Pace P. E. Wigner Distribution Detection and Analysis of FMCW and P-4 Polyphase LPI Waveforms. 2002 IEEE Intern. Conf. on Acoustics, Speech, and Signal Processing. Orlando, USA, 13–17 May 2002. IEEE, 2002, vol. 4, pp. IV-3944–IV-3947. doi:10.1109/ICASSP.2002.5745520; Liu Y., Xiao P., Wu H., Xiao W. LPI Radar Signal Detection Based on Radial Integration of Choi-Williams Time-Frequency Image. 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    جغرافية الموضوع: Минск

    وصف الملف: application/pdf

    العلاقة: Железняк, В. К. Имитационное моделирование метода оценки защищенности канала утечки информации по огибающей речевого сигнала=Simulation of the Security Assessment Information Leakage Channel Method Based on the Speech Signal Envelope / Железняк В. К., Адамовский Е. Р., Филиппович А. Г. // Доклады БГУИР. – 2022. – Т. 20, № 6. – С. 45 – 51. – DOI : http://dx.doi.org/10.35596/1729-7648-2022-20-6-45-51Test.; https://libeldoc.bsuir.by/handle/123456789/48531Test

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