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1دورية أكاديمية
المؤلفون: V. K. Zheleznyak, Y. R. Adamovskiy, A. G. Filipovich
المصدر: Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki, Vol 20, Iss 6, Pp 45-51 (2022)
مصطلحات موضوعية: information leakage channel, speech signal envelope, cross-correlation, technical information security, Electronics, TK7800-8360
وصف الملف: electronic resource
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2دورية أكاديمية
المصدر: Applied Sciences; Volume 13; Issue 8; Pages: 4650
مصطلحات موضوعية: impact frequency, motor current signature analysis, DTH drilling, hammer pressure, frequency side bands, signal envelope, measurement while drilling
جغرافية الموضوع: agris
وصف الملف: application/pdf
العلاقة: Earth Sciences and Geography; https://dx.doi.org/10.3390/app13084650Test
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3دورية أكاديمية
المؤلفون: Tran Huu Nghi, A. S. Podstrigaev, Nguyen Trong Nhan, D. A. Ikonenko
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
مصطلحات موضوعية: bandpass filter, fast Fourier transform, weight window, signal envelope
وصف الملف: application/pdf
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. WSEAS Transactions on Communications. 2009, vol. 8, no. 7, pp. 628–637.; Yang J., Wang X., Wu H. Modified Automatic Modulation Recognition Algorithm. 2009 5 th Intern. Conf. on Wireless Communications, Networking and Mobile Computing. Beijing, China, 24–26 Sept. 2009. IEEE, 2009, pp. 1–4. doi:10.1109/WICOM.2009.5302483; Zavadsky A. L., Kazak P. A., Kadantsev S. M. Identification of the Modulation Type of Phase-Manipulated Signals Based on the Analysis of the Even Degree Spectrum Structure. Digital Signal Processing. 2019, no. 1, pp. 20–25. (in Russ.); Kubankova A., Kubanek D. Digital Modulation Recognition Based on Feature, Spectrum and Phase Analysis and its Testing with Disturbed Signals. Recent Researches in Telecommunications, Informatics, Electronics and Signal Processing. 2011, pp. 162–166.; Tran H. N., Podstrigaev А., Trong N. N. A Signal Classification Algorithm with Detection at Two Intermediate Frequencies for RF Spectrum Monitoring. 2022 Intern. 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. J. of Systems Engineering and Electronics. 2015, vol. 26, no. 5, pp. 973–981. doi:10.1109/JSEE.2015.00106; Adzhemov S. S., Tereshonok M. V., Chirov D. S. Type Recognition Of The Digital Modulation of Radio Signals Using Neural Networks. Moscow University Physics Bulletin. 2015, no. 1, pp. 23–28. (In Russ.); Kim N., Kehtarnavaz N., Yeary M. B., Thornton S. DSP-Based Hierarchical Neural Network Modulation Signal Classification. IEEE Transactions on Neural Networks. 2003, vol. 14, no. 5, pp. 1065–1071. doi:10.1109/TNN.2003.816037; Hazza A., Shoaib M., Alshebeili S. A., Fahad A. An Overview of Feature-Based Methods for Digital Modulation Classification. 2013 1 st Intern. Conf. on Communications, Signal Processing, and Their Applications (ICCSPA). Sharjah, United Arab Emirates, 12–14 Febr. 2013. IEEE, 2013, pp. 1–6. doi:10.1109/ICCSPA.2013.6487244; Sejdić E., Djurović I., Jiang J. Time–Frequency Feature Representation Using Energy Concentration: an Overview of Recent Advances. Digital Signal Processing. 2009, vol. 19, no. 1, pp. 153–183. doi:10.1016/j.dsp.2007.12.004; Huang B., Jia G., Zhu Z. Multi-Channel RF Signal Analysis Device Based on FPGA and DSP. Sixth Intern. Conf. on Intelligent Computing, Communication, and Devices (ICCD 2023). 2023, vol. 12703, pp. 437–443. doi:10.1117/12.2682801; Ivanova N., Galanina N., Moiseev D. FFT Algorithm Realization Features on FPGA. Bulletin of the Chuvash University. 2018, no. 3, pp. 182–191. (In Russ.); Tsui J. B. Y. Special Design Topics in Digital Wideband Receivers. Artech House, 2010, 440 p.; https://re.eltech.ru/jour/article/view/798Test
الإتاحة: https://doi.org/10.32603/1993-8985-2023-26-5-40-49Test
https://doi.org/10.1007/978-0-387-98100-0Test
https://doi.org/10.3390/s20195472Test
https://doi.org/10.34759/trd-2020-113-09Test
https://doi.org/10.14529/secur190302Test
https://doi.org/10.1109/WICOM.2009.5302483Test
https://doi.org/10.1109/EExPolytech56308.2022.9950890Test
https://doi.org/10.1155/2008/175236Test
https://doi.org/10.1109/26.837045Test
https://doi.org/10.1155/2009/656719Test -
4دورية أكاديمية
المؤلفون: Vitaliy Balashov, Vasyl Oreshkov, Iryna Barba, Olena Iegupova
المصدر: Journal of Telecommunications and Information Technology, Iss 1 (2021)
مصطلحات موضوعية: Fourier transformation, OFDM, orthogonal harmonic signals, orthogonality interval, signal envelope, Telecommunication, TK5101-6720, Information technology, T58.5-58.64
وصف الملف: electronic resource
العلاقة: https://jtit.pl/jtit/article/view/454Test; https://doaj.org/toc/1509-4553Test; https://doaj.org/toc/1899-8852Test
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5دورية أكاديمية
المؤلفون: Susanti, Hesty, Suprijanto, Suprijanto, Kurniadi, Deddy
المصدر: Journal of Engineering and Technological Sciences; Vol. 52 No. 4 (2020); 514-533 ; 2338-5502 ; 2337-5779 ; 10.5614/j.eng.technol.sci.2020.52.4
مصطلحات موضوعية: energy spectral density, needle visibility, power spectral density, resonance scattering, RF data processing, signal envelope, ultrasound
وصف الملف: application/pdf
العلاقة: https://journals.itb.ac.id/index.php/jets/article/view/12578/pdf_81Test; https://journals.itb.ac.id/index.php/jets/article/view/12578Test
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6دورية أكاديمية
المؤلفون: Yunfei Zhou, Liyun Zhong, Hongzhi Cai, Jindong Tian, Dong Li, Xiaoxu Lu
المصدر: IEEE Photonics Journal, Vol 9, Iss 5, Pp 1-11 (2017)
مصطلحات موضوعية: Generalized cross-correlation time delay estimation, white light scanning interferometry, zero optical path difference, interference signal envelope., Applied optics. Photonics, TA1501-1820, Optics. Light, QC350-467
وصف الملف: electronic resource
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7دورية أكاديمية
المؤلفون: V.M. Artyushenko, V.I. Volovach
المصدر: Физика волновых процессов и радиотехнические системы, Vol 18, Iss 1, Pp 60-67 (2015)
مصطلحات موضوعية: radio short-range devices, the envelope of the signal, multiplicative noise, the pdf of nakagami, the pdf of the weibull, the emission signal envelope, the rate of loss, the length of the object, Physics, QC1-999, Electronics, TK7800-8360
وصف الملف: electronic resource
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8دورية أكاديمية
المؤلفون: Tamara Grujic Supuk, Ana Kuzmanic Skelin, Maja Cic
المصدر: Sensors, Vol 14, Iss 5, Pp 8235-8258 (2014)
مصطلحات موضوعية: surface electromyography (sEMG) signals, biomedical sensors, bioamplifier, artificial EMG signal, noise removal, wavelets, EMG signal envelope, muscle activity during human gait, Chemical technology, TP1-1185
وصف الملف: electronic resource
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9دورية أكاديمية
المؤلفون: Железняк, В. К., Адамовский, Е. Р., Филиппович, А. Г.
مصطلحات موضوعية: доклады БГУИР, каналы утечки информации, огибающая речевого сигнала, взаимная корреляция, information leakage channel, speech signal envelope, cross-correlation
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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10
المؤلفون: Yawar Hussain, Omar Hamza, Xinghui Huang, André Carlos Silva, Cristobal Condori, Rogério Uagoda, André Luís Brasil Cavalcante
المصدر: REM-International Engineering Journal v.73 n.3 2020
REM-International Engineering Journal
Fundação Gorceix (FG)
instacron:FG
REM: International Engineering Journal, Vol 73, Iss 3, Pp 421-424 (2020)مصطلحات موضوعية: Mining engineering. Metallurgy, Tailings dam, Flood myth, TN1-997, General Engineering, Signal envelope, envelope, Engineering (General). Civil engineering (General), Signature (logic), Dam Collapse, spectrogram, flood early warning system, Mudflow, General Earth and Planetary Sciences, Early warning system, TA1-2040, Seismology, Geology, General Environmental Science
وصف الملف: text/html
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::82095ae63ea95b4dad575c390ca60222Test
https://doi.org/10.1590/0370-44672019730040Test