Relevant bibliographies by topics / Modeling of hydroacoustic signals

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Modeling of hydroacoustic signals'

Author: Grafiati
Published: 30 May 2022
Last updated: 31 May 2022

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Journal articles on the topic "Modeling of hydroacoustic signals"

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Nejevenko, E. S., and A. A. Sotnikov. "Adaptive modeling for hydroacoustic signal processing." Pattern Recognition and Image Analysis 16, no. 1 (2006): 5–8. http://dx.doi.org/10.1134/s1054661806010020.

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Kuznetsov, Mikhail Yu, and Yury A. Kuznetsov. "Hydroacoustic methods and tools for fish stock assessment and fishery maintenance Part 2. Methods and tools of fishery biohydroacoustics." Izvestiya TINRO 184, no. 1 (2016): 264–94. http://dx.doi.org/10.26428/1606-9919-2016-184-264-294.

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Studies on influence of hydroacoustic fields on behaviour of commercial species and using of hydroacoustic tools for management of fish and squids behavior to increase the fishing efficiency are overviewed. The methods and means of fisheries biohydroacoustics are considered critically and the reasons of their unsatisfactory using in fishery are analyzed. Sounds with a certain spectrum and level are still applied for influence on fish behaviour without sufficient scientific and technical substantiation, so a complex approach to development of effective hydroacoustic tools for remote control of
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Kryukov, Yu S., and E. O. Cherepanov. "SOFTWARE FOR PROCESSING HYDROACOUSTIC SIGNALS, MODELING AND REMOTE EVALUATION OF THE COORDINATES OF THE TRIGGERING OF UNDERWATER PULSED SOURCES." Journal of Oceanological Research 46, no. 2 (2018): 37–46. http://dx.doi.org/10.29006/1564-2291.jor-2018.46(2).4.

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Hamama, Islam, Masa-yuki Yamamoto, Mohamed N. ElGabry, et al. "Investigation of near-surface chemical explosions effects using seismo-acoustic and synthetic aperture radar analyses." Journal of the Acoustical Society of America 151, no. 3 (2022): 1575–92. http://dx.doi.org/10.1121/10.0009406.

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Chemical explosions are ground truth events that provide data, which, in turn, can enhance the understanding of wave propagation, damage assessment, and yield estimation. On 4 August 2020, Beirut, Lebanon was shocked by a catastrophic explosion, which caused devastating damage to the Mediterranean city. A second strong chemical explosion took place at the Xiangshui, China chemical plant on 21 March 2019. Both events generated shock waves that transitioned to infrasound waves, seismic waves, as well as hydroacoustic signals with accompanying T-phases in the case of the Beirut event. In this wor
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ZAITSEVA, Irina N. "ERROR ESTIMATION OF THE ALGORITHM FOR THE PHASE SHIFT DEFINITION OF HARMONIC SIGNALS IN THE TIMELESS THAN THE SIGNAL PERIOD USING STOCHASTIC SAMPLING." Periódico Tchê Química 17, no. 36 (2020): 213–22. http://dx.doi.org/10.52571/ptq.v17.n36.2020.229_periodico36_pgs_213_222.pdf.

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Determining the parameters of a harmonic signal is one of the most common types of measurements in radio engineering, communication engineering, electronics and automation systems. The research and development of new methods for measuring the harmonic signal parameters are relevant. This work studied algorithm errors for determining the phase shift of harmonic signals using stochastic sampling. The relevance of this study is dictated by increasing requirements for the accuracy and speed of measuring equipment, the reduction of time it takes to decide on the presence of a signal while searching
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Alexandrov, V., A. Buyanov, L. Markova, and M. Sivers. "Researching Digital Methods of Generation Signals of Hydroacoustic Phased Antenna Grids." Proceedings of Telecommunication Universities 7, no. 1 (2021): 42–53. http://dx.doi.org/10.31854/1813-324x-2021-7-1-42-53.

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Solving tasks of creation, correction and parametric control of signals excitation hydroacoustic phased antenna grids is actual problem of creating multichannel generated devices, based on switch-mode amplifiers with pulse-width modulation. In this article were reviewed correction methods output signals of hydroacoustic transmission paths, periodic pulse sequence creation and parametric voltage level control of excitation channels of phased antenna grid with abrupt decrease impedance of hydroacoustic converters. Was shown the perspective implementation digital technologies for improvement para
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Kasatkin, B. A., N. V. Zlobina, S. B. Kasatkin, and G. V. Kosarev. "Spectral-Correlation Signal Processing in the Infrasonic Frequency Range." IOP Conference Series: Earth and Environmental Science 988, no. 3 (2022): 032065. http://dx.doi.org/10.1088/1755-1315/988/3/032065.

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Abstract The article discusses hydroacoustic receiving systems, consisting of combined receivers, and the processing of the received hydroacoustic signals. Each module of the sonar system has four channels for receiving information. Spectral processing was carried out using sixteen information parameters, which made it possible to achieve the maximum noise immunity of the receiving system. Correlation processing of signals confirmed the high correlation of signals on the elements of the receiving hydroacoustic system.
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Butyrskiy, Evgeniy, N. V. Mercachev, and Vitaliy Rahuba. "Spectral method of forming complex hydroacoustic signals." National Security and Strategic Planning, no. 2 (August 15, 2021): 38–51. http://dx.doi.org/10.37468/2307-1400-2021-2-38-51.

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The article discusses the problem of synthesis of complex broadband signals in the spectral area. It is shown that the formation of complex broadband signals in the spectral area allows to determine the classes of signals that have good resolution in range and speed. Mathematical models of uncertainty functions for polyharmonic and strip signals are presented.
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Seletkov, V. L. "Methods of spectral identification of hydroacoustic signals." Radioelectronics and Communications Systems 51, no. 6 (2008): 335–38. http://dx.doi.org/10.3103/s0735272708060083.

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Sknarya, Anatoly V., Anatoly A. Razin, Sergey A. Toshchov, and Aleksey I. Demidov. "ULTRA WIDEBAND SOUNDING SIGNALS IN HYDROACOUSTIC SYSTEMS." Radioelectronics. Nanosystems. Information Technologies 10, no. 2 (2018): 209–12. http://dx.doi.org/10.17725/rensit.2018.10.209.

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Dissertations / Theses on the topic "Modeling of hydroacoustic signals"

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Дудко, Андрій Володимирович. "Модуль генерації гідроакустичного сигналу в плоско-паралельному хвилеводі". Bachelor's thesis, КПІ ім. Ігоря Сікорського, 2019. https://ela.kpi.ua/handle/123456789/28408.

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Метою дипломної роботи є створення програмного продукту для генерації гідроакустичного сигналу в плоско-паралельному хвилеводі променевим методом. Об’єктом дослідження є способи та алгоритми моделювання сигналів. Було виконано огляд існуючих програмних застосунків для моделювання сигналів та ознайомитися із проблемами моделювання гідроакустичних сигналів, розроблено програмний продукт для генерації гідроакустичних сигналів, який реалізовано методом уявних джерел для розрахунку поля тиску в плоско-паралельному хвилеводі, даний метод відноситься до променевих моделей. Створена програмний проду
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Тимофеева, М. А., Віктор Васильович Авраменко, Виктор Васильевич Авраменко та Viktor Vasylovych Avramenko. "Разработка компьютерной системы распознавания гидроакустических сигналов и моделирование ее работы". Thesis, Изд-во СумГУ, 2008. http://essuir.sumdu.edu.ua/handle/123456789/20932.

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Разработан алгоритм и компьютерная программа для распознавания судна по текущему значению анализируемого гидроакустического сигнала. When you are citing the document, use the following link http://essuir.sumdu.edu.ua/handle/123456789/20932
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Starzl, Ravi. "Computational Modeling of Immune Signals." Research Showcase @ CMU, 2012. http://repository.cmu.edu/dissertations/339.

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The primary obstacle to enabling wide spread adoption of composite tissue transplantation, as well as to improving long term solid organ transplant outcomes, is establishing a personalized medication regimen optimizing the balance between immunosuppression and immune function the individual minimum effective level of immunosuppression. Presently, the clinical gold standard for monitoring immune function is histologic inspection of biopsy for tissue damage, or monitoring blood chemistry for signs of organ failure. These trailing indicators reflect damage that has already accumulated, and are of
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VanDerKamp, Martha M. "Modeling and classification of biological signals." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School; Available from the National Technical Information Service, 1992. http://edocs.nps.edu/npspubs/scholarly/theses/1992/Dec/92Dec_VanDerKamp.pdf.

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Marrow, Marcus. "Detection and modeling of 2-dimensional signals /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2004. http://wwwlib.umi.com/cr/ucsd/fullcit?p3137227.

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Xu, Zhen. "Modeling SAR signals and sensors using VHDL." Thesis, This resource online, 1995. http://scholar.lib.vt.edu/theses/available/etd-06112009-063128/.

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Liu, Aiping. "Brain connectivity network modeling using fMRI signals." Thesis, University of British Columbia, 2016. http://hdl.handle.net/2429/58126.

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Functional magnetic resonance imaging (fMRI) is one of the most popular non-invasive neuroimaging technologies, which examines human brain at relatively good spatial resolution in both normal and disease states. In addition to the investigation of local neural activity in isolated brain regions, brain connectivity estimated from fMRI has provided a system-level view of brain functions. Despite recent progress on brain connectivity inference, there are still several challenges. Specifically, this thesis focuses on developing novel brain connectivity modeling approaches that can deal with partic
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Velasco, Solano Carlos Hernando. "ARMA modeling of signals in the time domain." Thesis, Monterey, California. Naval Postgraduate School, 1992. http://hdl.handle.net/10945/23820.

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Approved for public release; distribution is unlimited<br>This thesis develops an iterative algorithm for the design of ARMA models of signals in the time domain. The algorithm is based on optimization techniques, particularly a gradient technique known as the restricted step method is used. The new algorithm is called the iterative Prony method, and the results obtained using this new method are compared to those obtained using the iterative prefiltering algorithm. The thesis shows that the performance of the iterative Prony method is in most of the cases comparable or superior to that of
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Lam, Warren Michael. "Modeling algorithms for a class of fractal signals." Thesis, Massachusetts Institute of Technology, 1992. http://hdl.handle.net/1721.1/31034.

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Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1992.<br>Includes bibliographical references (leaves 86-87).<br>by Warren Michael Lam.<br>M.S.
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Waghray, Rasagnya. "EXPLORING REDUCED TRAFFIC SIGNALS USING AGENT BASED MODELING." OpenSIUC, 2010. https://opensiuc.lib.siu.edu/theses/372.

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The need for measures to reduce congestion in metropolitan traffic has been a pressing concern as citizens' cluster in larger cities with the immediate side effect of an increase in traffic demand. A functioning society depends on the mobility provided by the transportation network to enable its members to participate in essential activities such as production, consumption, communication, and recreation. However, it is necessary for a society to introduce congestion-relief measures for improved quality of life, the environment, and maintained safety of the citizens. The project has three compo
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Books on the topic "Modeling of hydroacoustic signals"

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VanDerKamp, Martha M. Modeling and classification of biological signals. Naval Postgraduate School, 1992.

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I︠A︡roshchuk, I. O. Metod statisticheskogo modelirovani︠i︡a v zadachakh gidroakustiki =: Statistical modeling method for hydroacoustic problems. Dalʹnauka, 2002.

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Solano, Carlos Hernando Velasco. ARMA modeling of signals in the time domain. Naval Postgraduate School, 1992.

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Devasahayam, Suresh R. Signals and Systems in Biomedical Engineering: Signal Processing and Physiological Systems Modeling. 2nd ed. Springer US, 2013.

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Philippe, Müllhaupt, and SpringerLink (Online service), eds. Advances in the Theory of Control, Signals and Systems with Physical Modeling. Springer-Verlag Berlin Heidelberg, 2011.

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Devasahayam, Suresh R. Signals and Systems in Biomedical Engineering: Physiological Systems Modeling and Signal Processing. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-3531-0.

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Lévine, Jean, and Philippe Müllhaupt, eds. Advances in the Theory of Control, Signals and Systems with Physical Modeling. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-16135-3.

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Devasahayam, Suresh R. Signals and Systems in Biomedical Engineering: Signal Processing and Physiological Systems Modeling. Springer US, 2000.

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Signals and systems in biomedical engineering: Signal processing and physiological systems modeling. Kluwer Academic/Plenum Publishers, 2000.

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Feliu, Sebastián. Modelado e identificación de procesos de corrosión: Análisis de la respuesta a señales eléctricas = Modeling and identification of corrosion processes : response to electric signals. Consejo Superior de Investigaciones Científicas, 1985.

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Book chapters on the topic "Modeling of hydroacoustic signals"

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Narandžić, M., A. Hong, W. Kotterman, et al. "Channel Modeling." In Signals and Communication Technology. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17496-4_2.

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Ali, Syed Riffat. "Hardware Reliability Modeling." In Signals and Communication Technology. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01647-0_2.

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Salam, Abdul, and Usman Raza. "Wireless Underground Channel Modeling." In Signals in the Soil. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-50861-6_3.

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Watanabe, Kento, and Masataka Goto. "Atypical Lyrics Completion Considering Musical Audio Signals." In MultiMedia Modeling. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67832-6_15.

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Cohen Tenoudji, Frédéric. "Parametric Modeling of Random Signals." In Modern Acoustics and Signal Processing. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-42382-1_26.

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Healy, Graham F., Cathal Gurrin, and Alan F. Smeaton. "Informed Perspectives on Human Annotation Using Neural Signals." In MultiMedia Modeling. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-27674-8_28.

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Kovačević, Branko, Milan Milosavljević, Mladen Veinović, and Milan Marković. "Speech Signal Modeling." In Robust Digital Processing of Speech Signals. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-53613-2_1.

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Gruhn, Rainer E., Wolfgang Minker, and Satoshi Nakamura. "Pronunciation Variation Modeling in the Literature." In Signals and Communication Technology. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19586-0_4.

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Oestges, Claude, Nicolai Czink, Philippe De Doncker, et al. "Radio Channel Modeling for 4G Networks." In Signals and Communication Technology. Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2315-6_3.

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Lin, En-Bing, Megan Haske, Marilyn Smith, and Darren Sowards. "Wavelet Analysis of ECG Signals." In Multiscale Signal Analysis and Modeling. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-4145-8_10.

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Conference papers on the topic "Modeling of hydroacoustic signals"

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Dushin, Sergey V. "Modeling of a High-Frequency Hydroacoustic Communication Channel in Shallow Water of the Black Sea." In 2020 22th International Conference on Digital Signal Processing and its Applications (DSPA). IEEE, 2020. http://dx.doi.org/10.1109/dspa48919.2020.9213278.

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Burdinsky, I. N., I. V. Karabanov, and A. S. Mironov. "Hydroacoustic signals of AUV data measuring systems." In 2016 Dynamics of Systems, Mechanisms and Machines (Dynamics). IEEE, 2016. http://dx.doi.org/10.1109/dynamics.2016.7818992.

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Mironov, A. S., and E. S. Fomina. "Processing Hydroacoustic Signals in Systems for Sonar Surveying." In 2018 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon). IEEE, 2018. http://dx.doi.org/10.1109/fareastcon.2018.8602891.

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Falco, Anatoly I., and Maxim S. Shushnov. "Reception of Signals with Code Division in Hydroacoustic Channels." In 2018 XIV International Scientific-Technical Conference on Actual Problems of Electronics Instrument Engineering (APEIE). IEEE, 2018. http://dx.doi.org/10.1109/apeie.2018.8545057.

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Klionskiy, D. M., D. I. Kaplun, V. V. Gulvanskiy, D. V. Bogaevskiy, S. A. Romanov, and S. V. Kalincev. "Application of harmonic wavelets to processing oscillating hydroacoustic signals." In 2017 Progress in Electromagnetics Research Symposium - Fall (PIERS - FALL). IEEE, 2017. http://dx.doi.org/10.1109/piers-fall.2017.8293563.

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Burdinskiy, Igor N., Andrey S. Mironov, and Anton V. Myagotin. "Measuring system for the registration of pseudo-noise hydroacoustic signals." In 2008 9th International Scientific-Technical Conference on Actual Problems of Electronic Instrument Engineering (APEIE). IEEE, 2008. http://dx.doi.org/10.1109/apeie.2008.4897059.

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Burdinskiy, I. N., A. S. Mironov, and A. V. Myagotin. "Measuring system for the registration of pseudo-noise hydroacoustic signals." In 2008 9th International Scientific-Technical Conference on Actual Problems of Electronic Instrument Engineering (APEIE). IEEE, 2008. http://dx.doi.org/10.1109/apeie.2008.4897134.

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Pisarev, Ivan A., Elena E. Kotova, Andrei S. Pisarev, and Natalia V. Stash. "Structure of knowledge base of methods for processing hydroacoustic signals." In 2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus). IEEE, 2018. http://dx.doi.org/10.1109/eiconrus.2018.8317290.

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Klionskiy, D. M., D. I. Kaplun, V. V. Geppener, and A. S. Voznesenskiy. "Simulator of Hydroacoustic Signals for a Complex System of Underwater Environment." In 2019 PhotonIcs & Electromagnetics Research Symposium - Spring (PIERS-Spring). IEEE, 2019. http://dx.doi.org/10.1109/piers-spring46901.2019.9017889.

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Zhi-Bin, Xu, and Lin Xue-Yuan. "Modeling Study of Hydroacoustic Channel Based on Ray Model." In 2010 Third International Conference on Information and Computing Science (ICIC). IEEE, 2010. http://dx.doi.org/10.1109/icic.2010.239.

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Reports on the topic "Modeling of hydroacoustic signals"

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Tolstoy, M., and D. Bohnenstiehl. Location, Characterization and Quantification of Hydroacoustic Signals in the Indian Ocean. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada422211.

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Steer, M. Advanced Modeling of Mixed Signals Systems. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada457819.

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Barrios, Amalia E., Veena Gadwal, and Richard Sprague. Modeling RF Digital Signals for Communications Applications. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada531221.

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Margoliash, Daniel. Modeling Temporal Dynamics in the Classification of Auditory Signals. Defense Technical Information Center, 1993. http://dx.doi.org/10.21236/ada267472.

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Kohlmorgen, L. R., S. Coers, K. Bischof, I. Kröncke, and A. Bartholoma. Differences in hydroacoustic backscatter signals and epifauna growth in a stony and coarse grain habitat ("Helgolaender Steingrund", German Bight, North Sea). Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2017. http://dx.doi.org/10.4095/305874.

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Larmat, Carene, Marcel Remillieux, Lucie Rolland, and Philippe Lognonne. W15_ionisphere “3D modeling and inversion of ionospheric signals driven from below by earthquakes and tsunami". Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1345919.

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Delgado, Jaime Fernando, and Müjdat Çetin. Modeling differences in the time-frequency representation of EEG signals through HMM’s for classification of imaginary motor tasks. Sabanci University, 2011. http://dx.doi.org/10.5900/su_fens_wp.2011.16498.

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Breton, Daniel. A study on the Delta-Bullington irregular terrain radiofrequency propagation model : assessing model suitability for use in decision support tools. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/42780.

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Modeling the propagation of radiofrequency signals over irregular terrain is both challenging and critically important in numerous Army applications. One application of particular importance is the performance and radio connectivity of sensors deployed in scenarios where the terrain and the environment significantly impact signal propagation. This report investigates both the performance of and the algorithms and assumptions underlying the Delta-Bullington irregular terrain radiofrequency propagation model discussed in International Telecommunications Union Recommendation P.526-15. The aim is
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Elbaum, Michael, and Peter J. Christie. Type IV Secretion System of Agrobacterium tumefaciens: Components and Structures. United States Department of Agriculture, 2013. http://dx.doi.org/10.32747/2013.7699848.bard.

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Objectives: The overall goal of the project was to build an ultrastructural model of the Agrobacterium tumefaciens type IV secretion system (T4SS) based on electron microscopy, genetics, and immunolocalization of its components. There were four original aims: Aim 1: Define the contributions of contact-dependent and -independent plant signals to formation of novel morphological changes at the A. tumefaciens polar membrane. Aim 2: Genetic basis for morphological changes at the A. tumefaciens polar membrane. Aim 3: Immuno-localization of VirB proteins Aim 4: Structural definition of the substrate
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