Academic literature on the topic 'Hydroacoustic signal'

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Journal articles on the topic "Hydroacoustic signal"

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Luo, Yu, Chaoqian Fu, Dongdong Peng, Haotian Wang, Yingshuo Yao, and Lulu Yan. "Design and DSP implementation of signal processing module for underwater acoustic transponder." Journal of Physics: Conference Series 2863, no. 1 (2024): 012026. http://dx.doi.org/10.1088/1742-6596/2863/1/012026.

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Abstract Due to the fact that sound waves are the most effective carrier for underwater information transmission, the detection of underwater acoustic signals has become a key link in optimizing the performance of transponders in underwater positioning systems. In this paper, the signal processing module of the hydroacoustic transponder is designed to address the problem of low detection accuracy of the transponder due to the propagation deformation of hydroacoustic signals in hydroacoustic channels. The module uses the TMS320C6748 processor to achieve the transmission, acquisition, and detect
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Tarasov, Sergei, Petr Pivnev, Wenjian Chen, and Dmitry Durov. "Nonlinear acoustics methods in the investigations of elastic wave interactions in the ocean." E3S Web of Conferences 127 (2019): 02017. http://dx.doi.org/10.1051/e3sconf/201912702017.

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Hydroacoustic parametric systems and methods of nonlinear acoustics in the investigation of the Ocean and the Arctic shelf are considered. A short description of the most promising directions of development of hydroacoustic systems with parametric radiating antennas is given. Characteristics of parametric devices are given, and the results of their applications to solve various problems of hydroacoustics are considered. We discuss new opportunities, which appear when applying parametric antennas, to illuminate underwater environment by autonomous underwater vehicles, and to ensure their naviga
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Павликов, С. Н., Е. Ю. Копаева, Ю. Ю. Колесов, П. Н. Петров, and А. Н. Крючков. "Hydroacoustic communication method." MORSKIE INTELLEKTUAL`NYE TEHNOLOGII)</msg>, no. 1(55) (March 3, 2022): 208–14. http://dx.doi.org/10.37220/mit.2022.55.1.028.

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Развитие инфокоммуникационных систем требует повышения эффективности использования акустических методов. Однако, совершенствование гидроакустической связи связано с высокой нелинейностью и нестационарностью канала. Происходят раскоорреляция сигнала за счет трансформации в пространстве и во времени. Приемник не видит ожидаемого сигнала с заданными параметрами. Морских интеллектуальных систем кроме радиоволн могут и должны использовать гидроакустические сигналы. В работе предлагается новый способ гидроакустической связи, учитывающий высокие требования к мобильности и пропускной способности инфок
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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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Zhang, Jing, Liyuan Lin, and Rui Zhang. "Spectrum-Weighted Fusion Cooperative Detection Algorithm Based on Double Thresholds for Underwater Acoustic Networks." Sensors 23, no. 16 (2023): 7074. http://dx.doi.org/10.3390/s23167074.

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Spectrum-sensing technology is crucial for the development of underwater acoustic communication networks and plays a key role in detecting spectrum holes and channel occupancy. Energy detection technology, as the fundamental spectrum sensing technology in cognitive radio, has reached a mature level of development. Its application in hydroacoustic communications can significantly enhance the utilization of the hydroacoustic spectrum. However, due to the complexity of the hydroacoustic channel compared with that of the radio channel, the traditional double-threshold energy detection technique fa
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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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Lin, Xu, Ruichun Dong, and Zhichao Lv. "Deep Learning-Based Classification of Raw Hydroacoustic Signal: A Review." Journal of Marine Science and Engineering 11, no. 1 (2022): 3. http://dx.doi.org/10.3390/jmse11010003.

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Underwater target recognition is a research component that is crucial to realizing crewless underwater detection missions and has significant prospects in both civil and military applications. This paper provides a comprehensive description of the current stage of deep-learning methods with respect to raw hydroacoustic data classification, focusing mainly on the variety and recognition of vessels and environmental noise from raw hydroacoustic data. This work not only aims to describe the latest research progress in this field but also summarizes three main elements of the current stage of deve
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Zamarenova, L. N., E. V. Kotel'nikova, and M. I. Skipa. "Energy loss model for hydroacoustic information offshore nets." Electronics and Communications 16, no. 5 (2012): 70–74. http://dx.doi.org/10.20535/2312-1807.2011.16.5.247754.

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The power loss model when the signals propagating in the information network hydroacoustic channel on the shelf is considered. The experimental signal propagation power loss data are described by the trend approximated using the functions of the exponential and polynomial type. It is shown that in the case of the signal propagation in the bottom sound channel the trend is described by this approximating functions with the confidence no less than 0,9
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Czapiewska, Agnieszka, Andrzej Luksza, Ryszard Studanski, and Andrzej Zak. "Reduction of the Multipath Propagation Effect in a Hydroacoustic Channel Using Filtration in Cepstrum." Sensors 20, no. 3 (2020): 751. http://dx.doi.org/10.3390/s20030751.

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During data transmission in a hydroacoustic channel, one of the problems is the multipath propagation effect, which leads to a decrease in the transmission parameters and sometimes completely prevents it. Therefore, we have attempted to develop a method, which is based on a recorded hydroacoustic signal, that allows us to recreate the original (generated) signal by eliminating the multipath effect. In our method, we use cepstral analysis to eliminate replicas of the generated signal. The method has been tested in simulation and during measurements in a real environment. Additionally, the influ
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Lillis, Ilse Van, and Olaf Boebel. "Marine soundscape planning: Seeking acoustic niches for anthropogenic sound." Journal of Ecoacoustics 2, no. 1 (2018): 1. http://dx.doi.org/10.22261/jea.5gsnt8.

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Both marine mammals and hydroacoustic instruments employ underwater sound to communicate, navigate or infer information about the marine environment. Concurrent timing of acoustic activities using similar frequency regimes may result in (potentially mutual) interference of acoustic signals when both sources are within audible range of the recipient. While marine mammal fitness might be negatively impacted upon, both on individual and population level, hydroacoustic studies may generate low quality data or suffer data loss as a result of bioacoustic interference. This article pursues, in analog
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Dissertations / Theses on the topic "Hydroacoustic signal"

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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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Sweet, Geoffrey William. "The processing of data from multi-hydrophone towed arrrays of uncertain shape." Thesis, University of Southampton, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.240909.

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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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Book chapters on the topic "Hydroacoustic signal"

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Hahn, Annette, Enno Schefuß, Nicole Burdanowitz, et al. "Catchment and Depositional Studies for the Reconstruction of Past Environmental Change in Southern Africa." In Sustainability of Southern African Ecosystems under Global Change. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-10948-5_28.

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AbstractTerrestrial signals in marine sedimentary archives are often used for reconstructing past environments, vegetation and climate, as well as for determining sediment fluxes, pathways, and depositional sites and changes in erosional runoff. It is therefore important to understand the origin, transport, and depositional processes of the various terrestrial sedimentary components in a depositional system. In this chapter, we use examples from southern Africa to show how source-to-sink studies have led to a clearer interpretation of downcore proxy records. Twelve rivers in four river catchme
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PERSSON, L., and E. SANGFELT. "DETECTION OF HYDROACOUSTIC TRANSIENTS BY MEANS OF HIGHER-ORDER STATISTICS." In Signal Processing. Elsevier, 1992. http://dx.doi.org/10.1016/b978-0-444-89587-5.50156-0.

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Tuma, Matthias, Christian Igel, and Mark Prior. "Hydroacoustic Signal Classification Using Support Vector Machines." In Signal and Image Processing for Remote Sensing, Second Edition. CRC Press, 2012. http://dx.doi.org/10.1201/b11656-5.

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NIKOLAYENKO, YU A. "Hydroacoustic Navigation and Positioning Aids with Transponder Beacons and Emergency Signal Sources." In History of Russian Underwater Acoustics. WORLD SCIENTIFIC, 2008. http://dx.doi.org/10.1142/9789812790941_0040.

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Conference papers on the topic "Hydroacoustic signal"

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Zlobina, Nadezhda, and Sergey Kasatkin. "Application of Secondary Spectral Analysis for Hydroacoustic Signal Processing." In 2024 International Conference on Ocean Studies (ICOS). IEEE, 2024. https://doi.org/10.1109/icos63634.2024.10775378.

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Kazadaev, L. M., A. I. Sattarova, and K. Yu Ryumshin. "Investigation of Digital Communication Lines Noise Immunity in Hydroacoustic Channel Using Various Types of Product Turbo Code." In 2024 Systems of Signal Synchronization, Generating and Processing in Telecommunications (SYNCHROINFO). IEEE, 2024. http://dx.doi.org/10.1109/synchroinfo61835.2024.10617661.

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Sheng, Haoxu. "Optimization of indeterminate pressure leakage regulation and control in drainage networks based on attenuated hydroacoustic signal recognition algorithm." In Fourth International Conference on Testing Technology and Automation Engineering (TTAE 2024), edited by Sumeet S. Aphale and Ajit Jha. SPIE, 2024. https://doi.org/10.1117/12.3055476.

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Chupin, Vladimir, Sergey Yakovenko, and Vyacheslav Shvets. "Registration of Hydroacoustic Signals by Coastal Laser Strainmeters." In 2024 OES China Ocean Acoustics (COA). IEEE, 2024. http://dx.doi.org/10.1109/coa58979.2024.10723501.

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Tugbaeva, A. S., V. N. Milich, A. G. Itskov, and V. A. Shirokov. "Software interface for processing hydroacoustic signals." In 2022 33th All-Russian Youth Exhibition of Innovations. Publishing House of Kalashnikov ISTU, 2022. http://dx.doi.org/10.22213/ie022146.

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Over the past decades, signal processing methods have become increasingly widespread due to the progress of computer technology and the achievement of significant results. Signal processing is understood as the process of restoring an information message that will be accessible to human perception. To achieve this goal, there are already many mathematical methods that are applied depending on the specific problem. Working with a large data sample creates the need to create signal processing systems. An equally important factor is the limited access for human experimentation in natural conditio
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Klionskiy, Dmitry M., Dmitry I. Kaplun, Alexander M. Golubkov, and Vyacheslav V. Gulvanskiy. "Adaptive algorithm for hydroacoustic signal processing." In 2017 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus). IEEE, 2017. http://dx.doi.org/10.1109/eiconrus.2017.7910649.

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Dolgikh, G. I., A. F. Scherbatyuk, S. S. Budrin та V. A. Chupin. "ОСОБЕННОСТИ ПРИМЕНЕНИЯ АВТОНОМНОГО НЕОБИТАЕМОГО ПОДВОДНОГО АППАРАТА ПРИ ИЗУЧЕНИИ ПРОСТРАНСТВЕННОЙ СТРУКТУРЫ ГИДРОАКУСТИЧЕСКИХ ПОЛЕЙ". У Fizika geosfer. ФГБУН Тихоокеанский океанологический институт им. В.И. Ильичева Дальневосточного отделения РАН, 2019. http://dx.doi.org/10.35976/poi.2019.85.25.001.

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В работе описывается эксперимент, проведенный с участием автономного необитаемого подводного аппарата (АНПА), оснащенного высокоточной гидроакустической измерительной аппаратурой, низкочастотным гидроакустическим излучателем, а так же береговыми лазерными деформографами. Целью данного эксперимента являлось изучение пространственновременного распределения поля давления, создаваемого низкочастотным гидроакустическим излучателем на шельфе клиновидной формы, а также выявление закономерностей трансформации гидроакустической энергии в сейсмическую. В ходе анализа и обработки полученных экспериментал
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Tuma, Matthias, Christian Igel, and Mark Prior. "Hydroacoustic Signal Classification Using Kernel Functions for Variable Feature Sets." In 2010 20th International Conference on Pattern Recognition (ICPR). IEEE, 2010. http://dx.doi.org/10.1109/icpr.2010.253.

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Farkhadov, M. P., O. D. Kuprikov, and D. V. Komanich. "Hydroacoustic Signal Characteristics Researching for an Underwater Communication Channel Development." In 2022 6th International Scientific Conference on Information, Control, and Communication Technologies (ICCT). IEEE, 2022. http://dx.doi.org/10.1109/icct56057.2022.9976725.

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Dolgikh, G. I., A. F. Scherbatyuk, S. S. Budrin та V. A. Chupin. "ОСОБЕННОСТИ ПРИМЕНЕНИЯ АВТОНОМНОГО НЕОБИТАЕМОГО ПОДВОДНОГО АППАРАТА ПРИ ИЗУЧЕНИИ ПРОСТРАНСТВЕННОЙ СТРУКТУРЫ ГИДРОАКУСТИЧЕСКИХ ПОЛЕЙ". У Fizika geosfer. ФГБУН Тихоокеанский океанологический институт им. В.И. Ильичева Дальневосточного отделения РАН, 2019. http://dx.doi.org/10.35976/poi.2019.1.38280.

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В работе описывается эксперимент, проведенный с участием автономного необитаемого подводного аппарата (АНПА), оснащенного высокоточной гидроакустической измерительной аппаратурой, низкочастотным гидроакустическим излучателем, а также береговыми лазерными деформографами. Целью данного эксперимента являлось изучение пространственновременного распределения поля давления, создаваемого низкочастотным гидроакустическим излучателем на шельфе клиновидной формы, а также выявление закономерностей трансформации гидроакустической энергии в сейсмическую. В ходе анализа и обработки полученных эксперименталь
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Reports on the topic "Hydroacoustic signal"

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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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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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