Artykuły w czasopismach na temat „Underwater acoustic signals”
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Brown, David A., Paul J. Gendron i John R. Buck. "Graduate education in acoustic engineering, transduction, and signal processing University of Massachusetts Dartmouth". Journal of the Acoustical Society of America 152, nr 4 (październik 2022): A123. http://dx.doi.org/10.1121/10.0015756.
Pełny tekst źródłaYu, Miao, Yutong He i Qian Kong. "Research on Pattern Extraction Method of Underwater Acoustic Signal Based on Linear Array". Mathematical Problems in Engineering 2022 (15.04.2022): 1–10. http://dx.doi.org/10.1155/2022/1819423.
Pełny tekst źródłaGaudette, Jason E., i James A. Simmons. "Linear time-invariant (LTI) modeling for aerial and underwater acoustics". Journal of the Acoustical Society of America 153, nr 3_supplement (1.03.2023): A95. http://dx.doi.org/10.1121/10.0018285.
Pełny tekst źródłaTaroudakis, Michael, Costas Smaragdakis i N. Ross Chapman. "Denoising Underwater Acoustic Signals for Applications in Acoustical Oceanography". Journal of Computational Acoustics 25, nr 02 (25.01.2017): 1750015. http://dx.doi.org/10.1142/s0218396x17500151.
Pełny tekst źródłaJu, Yang, Zhengxian Wei, Li Huangfu i Feng Xiao. "A New Low SNR Underwater Acoustic Signal Classification Method Based on Intrinsic Modal Features Maintaining Dimensionality Reduction". Polish Maritime Research 27, nr 2 (1.06.2020): 187–98. http://dx.doi.org/10.2478/pomr-2020-0040.
Pełny tekst źródłaYan, Huichao, i Linmei Zhang. "Denoising of MEMS Vector Hydrophone Signal Based on Empirical Model Wavelet Method". Proceedings 15, nr 1 (8.07.2019): 11. http://dx.doi.org/10.3390/proceedings2019015011.
Pełny tekst źródłaLi, Yuxing, Xiao Chen, Jing Yu i Xiaohui Yang. "A Fusion Frequency Feature Extraction Method for Underwater Acoustic Signal Based on Variational Mode Decomposition, Duffing Chaotic Oscillator and a Kind of Permutation Entropy". Electronics 8, nr 1 (5.01.2019): 61. http://dx.doi.org/10.3390/electronics8010061.
Pełny tekst źródłaLi, Yuxing, Yaan Li, Xiao Chen, Jing Yu, Hong Yang i Long Wang. "A New Underwater Acoustic Signal Denoising Technique Based on CEEMDAN, Mutual Information, Permutation Entropy, and Wavelet Threshold Denoising". Entropy 20, nr 8 (28.07.2018): 563. http://dx.doi.org/10.3390/e20080563.
Pełny tekst źródłaYang, Shuang, i Xiangyang Zeng. "Combination of gated recurrent unit and Network in Network for underwater acoustic target recognition". INTER-NOISE and NOISE-CON Congress and Conference Proceedings 263, nr 6 (1.08.2021): 486–92. http://dx.doi.org/10.3397/in-2021-1490.
Pełny tekst źródłaZhang, Zengmeng, Xing Cheng, Dayong Ning, Jiaoyi Hou i Yongjun Gong. "Underwater acoustic beacon signal extraction based on dislocation superimposed method". Advances in Mechanical Engineering 9, nr 2 (luty 2017): 168781401769167. http://dx.doi.org/10.1177/1687814017691671.
Pełny tekst źródłaYao, Xiaohui, Honghui Yang i Meiping Sheng. "Automatic Modulation Classification for Underwater Acoustic Communication Signals Based on Deep Complex Networks". Entropy 25, nr 2 (9.02.2023): 318. http://dx.doi.org/10.3390/e25020318.
Pełny tekst źródłaPark, Hwijin, Yeong Bae Won, Sehyeong Jeong, Joo Young Pyun, Kwan Kyu Park, Jeong-Min Lee, Hee-Seon Seo i Hak Yi. "Reflected Wave Reduction Based on Time-Delay Separation for the Plane Array of Multilayer Acoustic Absorbers". Sensors 21, nr 24 (17.12.2021): 8432. http://dx.doi.org/10.3390/s21248432.
Pełny tekst źródłaChen, Jie, Chang Liu, Jiawu Xie, Jie An i Nan Huang. "Time–Frequency Mask-Aware Bidirectional LSTM: A Deep Learning Approach for Underwater Acoustic Signal Separation". Sensors 22, nr 15 (26.07.2022): 5598. http://dx.doi.org/10.3390/s22155598.
Pełny tekst źródłaLi, Guohui, Qianru Guan i Hong Yang. "Noise Reduction Method of Underwater Acoustic Signals Based on CEEMDAN, Effort-To-Compress Complexity, Refined Composite Multiscale Dispersion Entropy and Wavelet Threshold Denoising". Entropy 21, nr 1 (24.12.2018): 11. http://dx.doi.org/10.3390/e21010011.
Pełny tekst źródłaYu, Yang, Jie Shi, Ke He i Peng Han. "The Control Packet Collision Avoidance Algorithm for the Underwater Multichannel MAC Protocols via Time-Frequency Masking". Discrete Dynamics in Nature and Society 2016 (2016): 1–12. http://dx.doi.org/10.1155/2016/2437615.
Pełny tekst źródłaKim, Yong Guk, Dong Gwan Kim, Kyucheol Kim, Chang-Ho Choi, Nam In Park i Hong Kook Kim. "An Efficient Compression Method of Underwater Acoustic Sensor Signals for Underwater Surveillance". Sensors 22, nr 9 (29.04.2022): 3415. http://dx.doi.org/10.3390/s22093415.
Pełny tekst źródłaXu, Kele, Qisheng Xu, Kang You, Boqing Zhu, Ming Feng, Dawei Feng i Bo Liu. "Self-supervised learning–based underwater acoustical signal classification via mask modeling". Journal of the Acoustical Society of America 154, nr 1 (1.07.2023): 5–15. http://dx.doi.org/10.1121/10.0019937.
Pełny tekst źródłaJiang, Cheng, JianLong Li i Wen Xu. "The Use of Underwater Gliders as Acoustic Sensing Platforms". Applied Sciences 9, nr 22 (12.11.2019): 4839. http://dx.doi.org/10.3390/app9224839.
Pełny tekst źródłaMa, Fuyin, Linbo Wang, Pengyu Du, Chang Wang i Jiu Hui Wu. "A three-dimensional broadband underwater acoustic concentrator". Journal of Physics D: Applied Physics 55, nr 19 (16.02.2022): 195110. http://dx.doi.org/10.1088/1361-6463/ac4720.
Pełny tekst źródłaGrelowska, Grażyna, i Eugeniusz Kozaczka. "Underwater Acoustic Imaging of the Sea". Archives of Acoustics 39, nr 4 (1.03.2015): 439–52. http://dx.doi.org/10.2478/aoa-2014-0048.
Pełny tekst źródłaYang, Hong, Lipeng Gao i Guohui Li. "Underwater Acoustic Signal Prediction Based on MVMD and Optimized Kernel Extreme Learning Machine". Complexity 2020 (24.04.2020): 1–17. http://dx.doi.org/10.1155/2020/6947059.
Pełny tekst źródłaBhardwaj, Ananya, Nizar Somaan, Tillson Galloway i Karim G. Sabra. "Improving passive acoustic target detection using machine learning classifiers". Journal of the Acoustical Society of America 153, nr 3_supplement (1.03.2023): A346. http://dx.doi.org/10.1121/10.0019104.
Pełny tekst źródłaFrasier, Kaitlin E. "A machine learning pipeline for classification of cetacean echolocation clicks in large underwater acoustic datasets". PLOS Computational Biology 17, nr 12 (3.12.2021): e1009613. http://dx.doi.org/10.1371/journal.pcbi.1009613.
Pełny tekst źródłaHu, Gang, Kejun Wang, Yuan Peng, Mengran Qiu, Jianfei Shi i Liangliang Liu. "Deep Learning Methods for Underwater Target Feature Extraction and Recognition". Computational Intelligence and Neuroscience 2018 (2018): 1–10. http://dx.doi.org/10.1155/2018/1214301.
Pełny tekst źródłaDi Bona, Isabella, Christopher Gravelle, Zakaria Faddi, David A. Brown i Corey Bachand. "Underwater acoustic spiral wave navigation system". Journal of the Acoustical Society of America 151, nr 4 (kwiecień 2022): A115. http://dx.doi.org/10.1121/10.0010826.
Pełny tekst źródłaKalyu, V. A., D. A. Smirnov, V. I. Tarovik, M. S. Sergeev i V. V. Petrova. "The environmental safety of the Russian arctic shelf waters and improving the safety of marine ecosystems by reducing the noise pollution". Transactions of the Krylov State Research Centre 2, nr 404 (6.06.2023): 140–53. http://dx.doi.org/10.24937/2542-2324-2023-2-404-140-153.
Pełny tekst źródłaWeiss, L. G., i T. L. Dixon. "Wavelet-based denoising of underwater acoustic signals". Journal of the Acoustical Society of America 101, nr 1 (styczeń 1997): 377–83. http://dx.doi.org/10.1121/1.417983.
Pełny tekst źródłaKrieger, John R., i Georges L. Chahine. "Acoustic signals of underwater explosions near surfaces". Journal of the Acoustical Society of America 118, nr 5 (listopad 2005): 2961–74. http://dx.doi.org/10.1121/1.2047147.
Pełny tekst źródłaWang, Maofa, Zhenjing Zhu i Gaofeng Qian. "Modulation Signal Recognition of Underwater Acoustic Communication Based on Archimedes Optimization Algorithm and Random Forest". Sensors 23, nr 5 (2.03.2023): 2764. http://dx.doi.org/10.3390/s23052764.
Pełny tekst źródłaZhang, Lan, Xiao Mei Xu, Wei Feng i You Gan Chen. "Doppler Estimation, Synchronization with HFM Signals for Underwater Acoustic Communications". Applied Mechanics and Materials 198-199 (wrzesień 2012): 1638–45. http://dx.doi.org/10.4028/www.scientific.net/amm.198-199.1638.
Pełny tekst źródłaSomaan, Nizar, Ananya Bhardwaj i Karim G. Sabra. "Passive underwater Acoustic IDentification (AID) tags for enhancing Autonomous Underwater Vehicle (AUV) navigation during docking or homing operations". Journal of the Acoustical Society of America 153, nr 3_supplement (1.03.2023): A345. http://dx.doi.org/10.1121/10.0019102.
Pełny tekst źródłaLin, Chin-Feng, Tsung-Jen Su, Hung-Kai Chang, Chun-Kang Lee, Shun-Hsyung Chang, Ivan A. Parinov i Sergey Shevtsov. "Direct-Mapping-Based MIMO-FBMC Underwater Acoustic Communication Architecture for Multimedia Signals". Applied Sciences 10, nr 1 (27.12.2019): 233. http://dx.doi.org/10.3390/app10010233.
Pełny tekst źródłaLi, Tong Xu, Xiao Min Zhang i Yu Chen. "Design and Implementation of a New Type of Underwater Acoustic Target Simulator". Applied Mechanics and Materials 397-400 (wrzesień 2013): 2200–2204. http://dx.doi.org/10.4028/www.scientific.net/amm.397-400.2200.
Pełny tekst źródłaAllam, Ahmed, Waleed Akbar i Fadel Adib. "An analytical framework for low-power underwater backscatter communications". Journal of the Acoustical Society of America 153, nr 3_supplement (1.03.2023): A376. http://dx.doi.org/10.1121/10.0019235.
Pełny tekst źródłaMURUGAN, S. SAKTHIVEL, i V. NATARAJAN. "IMPLEMENTATION OF THRESHOLD DETECTION TECHNIQUE FOR EXTRACTION OF COMPOSITE SIGNALS AGAINST AMBIENT NOISES IN UNDERWATER COMMUNICATION USING EMPIRICAL MODE DECOMPOSITION". Fluctuation and Noise Letters 11, nr 04 (grudzień 2012): 1250031. http://dx.doi.org/10.1142/s0219477512500319.
Pełny tekst źródłaLiu, Tao, Jian Gan Wang i Si Guang Zong. "Experimental Investigation on Underwater Opto-Acoustic Communication". Applied Mechanics and Materials 143-144 (grudzień 2011): 653–57. http://dx.doi.org/10.4028/www.scientific.net/amm.143-144.653.
Pełny tekst źródłaZhou, Hanyun, S. H. Huang i Wei Li. "Parametric Acoustic Array and Its Application in Underwater Acoustic Engineering". Sensors 20, nr 7 (10.04.2020): 2148. http://dx.doi.org/10.3390/s20072148.
Pełny tekst źródłaLi, Jiangqiao, Li Jiang, Fujian Yu, Ye Zhang i Kun Gao. "Research on improving measurement accuracy of acoustic transfer function of underwater vehicle". MATEC Web of Conferences 336 (2021): 01006. http://dx.doi.org/10.1051/matecconf/202133601006.
Pełny tekst źródłaWang, Xingmei, Anhua Liu, Yu Zhang i Fuzhao Xue. "Underwater Acoustic Target Recognition: A Combination of Multi-Dimensional Fusion Features and Modified Deep Neural Network". Remote Sensing 11, nr 16 (13.08.2019): 1888. http://dx.doi.org/10.3390/rs11161888.
Pełny tekst źródłaOh, Raegeun, Taek Lyul Song i Jee Woong Choi. "Batch Processing through Particle Swarm Optimization for Target Motion Analysis with Bottom Bounce Underwater Acoustic Signals". Sensors 20, nr 4 (24.02.2020): 1234. http://dx.doi.org/10.3390/s20041234.
Pełny tekst źródłaJanapati, Yellaiah. "Laser-induced sonar: A promising approach for improved underwater acoustic sensing". Journal of the Acoustical Society of America 154, nr 4_supplement (1.10.2023): A68. http://dx.doi.org/10.1121/10.0022821.
Pełny tekst źródłaCampo-Valera, María, i Ivan Felis. "Underwater Acoustic Communication for The Marine Environment’s Monitoring". Proceedings 42, nr 1 (14.11.2019): 51. http://dx.doi.org/10.3390/ecsa-6-06642.
Pełny tekst źródłaLi, Guohui, Zhichao Yang i Hong Yang. "Noise Reduction Method of Underwater Acoustic Signals Based on Uniform Phase Empirical Mode Decomposition, Amplitude-Aware Permutation Entropy, and Pearson Correlation Coefficient". Entropy 20, nr 12 (30.11.2018): 918. http://dx.doi.org/10.3390/e20120918.
Pełny tekst źródłaMURUGAN, S. SAKTHIVEL, V. NATARAJAN i S. RADHA. "ANALYSIS OF MNLMS AND KLMS ALGORITHM FOR UNDERWATER ACOUSTIC COMMUNICATIONS". Fluctuation and Noise Letters 11, nr 04 (grudzień 2012): 1250023. http://dx.doi.org/10.1142/s021947751250023x.
Pełny tekst źródłaZhang, Run, Chengbing He, Lianyou Jing, Chaopeng Zhou, Chao Long i Jiachao Li. "A Modulation Recognition System for Underwater Acoustic Communication Signals Based on Higher-Order Cumulants and Deep Learning". Journal of Marine Science and Engineering 11, nr 8 (21.08.2023): 1632. http://dx.doi.org/10.3390/jmse11081632.
Pełny tekst źródłaLi, Yuanyuan, i Shucheng Liang. "Research on modulation recognition of underwater acoustic communication signal based on deep learning". Journal of Physics: Conference Series 2435, nr 1 (1.02.2023): 012007. http://dx.doi.org/10.1088/1742-6596/2435/1/012007.
Pełny tekst źródłaLiu, Cong, Dong Han, Xinyang Zhang i Ning Li. "Research on Feature Extraction of Underwater Acoustic Target Radiation Noise Based on Machine Learning Algorithm". Journal of Physics: Conference Series 2644, nr 1 (1.11.2023): 012008. http://dx.doi.org/10.1088/1742-6596/2644/1/012008.
Pełny tekst źródłaHu, Yalin, Jixin Bao, Wanzhong Sun i Xiaomei Fu. "Modulation Recognition Method for Underwater Acoustic Communication Signals Based on Passive Time Reversal-Autoencoder with the Synchronous Signals". Sensors 23, nr 13 (28.06.2023): 5997. http://dx.doi.org/10.3390/s23135997.
Pełny tekst źródłaJang, Junsu, i Florian Meyer. "Bayesian navigation in shallow water using passive acoustics". Journal of the Acoustical Society of America 153, nr 3_supplement (1.03.2023): A304. http://dx.doi.org/10.1121/10.0018938.
Pełny tekst źródłaShakhtarin, B. I., V. V. Chudnikov i R. M. Dyabirov. "Methods of Frequency Synchronization of OFDM Signals in an Underwater Acoustic Channel". Herald of the Bauman Moscow State Technical University. Series Instrument Engineering, nr 4 (127) (sierpień 2019): 62–70. http://dx.doi.org/10.18698/0236-3933-2019-4-62-70.
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