Artykuły w czasopismach na temat „RADAR recognition process”
Utwórz poprawne odniesienie w stylach APA, MLA, Chicago, Harvard i wielu innych
Sprawdź 50 najlepszych artykułów w czasopismach naukowych na temat „RADAR recognition process”.
Przycisk „Dodaj do bibliografii” jest dostępny obok każdej pracy w bibliografii. Użyj go – a my automatycznie utworzymy odniesienie bibliograficzne do wybranej pracy w stylu cytowania, którego potrzebujesz: APA, MLA, Harvard, Chicago, Vancouver itp.
Możesz również pobrać pełny tekst publikacji naukowej w formacie „.pdf” i przeczytać adnotację do pracy online, jeśli odpowiednie parametry są dostępne w metadanych.
Przeglądaj artykuły w czasopismach z różnych dziedzin i twórz odpowiednie bibliografie.
Dudczyk, Janusz, i Łukasz Rybak. "Application of Data Particle Geometrical Divide Algorithms in the Process of Radar Signal Recognition". Sensors 23, nr 19 (30.09.2023): 8183. http://dx.doi.org/10.3390/s23198183.
Pełny tekst źródłaXing, Huaixi, Qinghua Xing i Kun Wang. "Radar Anti-Jamming Countermeasures Intelligent Decision-Making: A Partially Observable Markov Decision Process Approach". Aerospace 10, nr 3 (27.02.2023): 236. http://dx.doi.org/10.3390/aerospace10030236.
Pełny tekst źródłaSun, Jingming, Qiang Zhang, Jingbei Yang i Yuhao Yang. "Automatic Sample Labeling Method for Radar Target Recognition". Journal of Physics: Conference Series 2356, nr 1 (1.10.2022): 012029. http://dx.doi.org/10.1088/1742-6596/2356/1/012029.
Pełny tekst źródłaBartsch, A., F. Fitzek i R. H. Rasshofer. "Pedestrian recognition using automotive radar sensors". Advances in Radio Science 10 (18.09.2012): 45–55. http://dx.doi.org/10.5194/ars-10-45-2012.
Pełny tekst źródłaVinogradova, N. S., i L. G. Dorosinsky. "Recognition of radar images generated by synthetic aperture radar systems". Ural Radio Engineering Journal 5, nr 3 (2021): 258–71. http://dx.doi.org/10.15826/urej.2021.5.3.004.
Pełny tekst źródłaLee, Gawon, i Jihie Kim. "Improving Human Activity Recognition for Sparse Radar Point Clouds: A Graph Neural Network Model with Pre-Trained 3D Human-Joint Coordinates". Applied Sciences 12, nr 4 (18.02.2022): 2168. http://dx.doi.org/10.3390/app12042168.
Pełny tekst źródłaDong, Xiaoxuan, i Siyi Cheng. "Radar Working Modes Recognition Based on Discrete Process Neural Network". IOP Conference Series: Materials Science and Engineering 394 (8.08.2018): 042088. http://dx.doi.org/10.1088/1757-899x/394/4/042088.
Pełny tekst źródłaYang, Rui, Yingbo Zhao i Yuan Shi. "RPREC: A Radar Plot Recognition Algorithm Based on Adaptive Evidence Classification". Applied Sciences 13, nr 22 (20.11.2023): 12511. http://dx.doi.org/10.3390/app132212511.
Pełny tekst źródłaFeng, Xiang, Zhengliang Shan, Zhanfeng Zhao, Zirui Xu, Tianpeng Zhang, Zihe Zhou, Bo Deng i Zirui Guan. "Millimeter-Wave Radar Monitoring for Elder’s Fall Based on Multi-View Parameter Fusion Estimation and Recognition". Remote Sensing 15, nr 8 (16.04.2023): 2101. http://dx.doi.org/10.3390/rs15082101.
Pełny tekst źródłaZhyrnov, V., i S. Solonska. "Intelligent model of radar object images for surveillance radars". Radiotekhnika, nr 212 (28.03.2023): 148–54. http://dx.doi.org/10.30837/rt.2023.1.212.14.
Pełny tekst źródłaZhang, Tongrui, i Yunsheng Fan. "A 3D U-Net Based on a Vision Transformer for Radar Semantic Segmentation". Sensors 23, nr 24 (5.12.2023): 9630. http://dx.doi.org/10.3390/s23249630.
Pełny tekst źródłaMilczarek, Hubert, Czesław Leśnik, Igor Djurović i Adam Kawalec. "Estimating the Instantaneous Frequency of Linear and Nonlinear Frequency Modulated Radar Signals—A Comparative Study". Sensors 21, nr 8 (17.04.2021): 2840. http://dx.doi.org/10.3390/s21082840.
Pełny tekst źródłaDíez-Pastor, José Francisco, Pedro Latorre-Carmona, José Luis Garrido-Labrador, José Miguel Ramírez-Sanz i Juan J. Rodríguez. "Experimental Assessment of Feature Extraction Techniques Applied to the Identification of Properties of Common Objects, Using a Radar System". Applied Sciences 11, nr 15 (22.07.2021): 6745. http://dx.doi.org/10.3390/app11156745.
Pełny tekst źródłaQu, Chongxiao, Yongjin Zhang, Lei Jin, Changjun Fan, Shuo Liu i Xiayan Chen. "Exploring hand gesture recognition using micro-Doppler radar data based on vision transformers". Journal of Physics: Conference Series 2504, nr 1 (1.05.2023): 012046. http://dx.doi.org/10.1088/1742-6596/2504/1/012046.
Pełny tekst źródłaJiang, Xinrui, Ye Zhang, Qi Yang, Bin Deng i Hongqiang Wang. "Millimeter-Wave Array Radar-Based Human Gait Recognition Using Multi-Channel Three-Dimensional Convolutional Neural Network". Sensors 20, nr 19 (23.09.2020): 5466. http://dx.doi.org/10.3390/s20195466.
Pełny tekst źródłaDenisenkov, D. A., V. Yu Zhukov i G. G. Shchukin. "Spectral Parameters of Signal in a Meteorological Radar". Радиотехника и электроника 68, nr 6 (1.06.2023): 621–24. http://dx.doi.org/10.31857/s0033849423060013.
Pełny tekst źródłaNing, Qianhao, Hongyuan Wang, Zhiqiang Yan, Xiang Liu i Yinxi Lu. "Space-Based THz Radar Fly-Around Imaging Simulation for Space Targets Based on Improved Path Tracing". Remote Sensing 15, nr 16 (13.08.2023): 4010. http://dx.doi.org/10.3390/rs15164010.
Pełny tekst źródłaSha, Minghui, Dewu Wang, Fei Meng, Wenyan Wang i Yu Han. "Diff-SwinT: An Integrated Framework of Diffusion Model and Swin Transformer for Radar Jamming Recognition". Future Internet 15, nr 12 (23.11.2023): 374. http://dx.doi.org/10.3390/fi15120374.
Pełny tekst źródłaWan, Jian, Xin Yu i Qiang Guo. "LPI Radar Waveform Recognition Based on CNN and TPOT". Symmetry 11, nr 5 (27.05.2019): 725. http://dx.doi.org/10.3390/sym11050725.
Pełny tekst źródłaUkhanov, E. V. Ukhanov. "SOLVING THE PROBLEM OF OPTIMAL RADAR RECOGNITION OF MOBILE AERIAL OBJECTS BASED ON THE THEORY OF STATISTICAL HYPOTHESIS TESTING". T-Comm 16, nr 11 (2022): 30–34. http://dx.doi.org/10.36724/2072-8735-2022-16-11-30-34.
Pełny tekst źródłaYang, Na, i Yongtao Zhang. "A Gaussian Process Classification and Target Recognition Algorithm for SAR Images". Scientific Programming 2022 (20.01.2022): 1–10. http://dx.doi.org/10.1155/2022/9212856.
Pełny tekst źródłaWang, Zihao, Haifeng Li i Lin Ma. "Modern Synergetic Neural Network for Synthetic Aperture Radar Target Recognition". Sensors 23, nr 5 (4.03.2023): 2820. http://dx.doi.org/10.3390/s23052820.
Pełny tekst źródłaLiu, Jie, Kai Zhang, Zhenlin Sun, Qiang Wu, Wei He i Hao Wang. "Concealed Object Detection and Recognition System Based on Millimeter Wave FMCW Radar". Applied Sciences 11, nr 19 (24.09.2021): 8926. http://dx.doi.org/10.3390/app11198926.
Pełny tekst źródłaBanasiak, Kazimierz. "Selected aspects of measurement data processing in electronic warfare devices". Bulletin of the Military University of Technology 72, nr 3 (30.09.2023): 83–119. http://dx.doi.org/10.5604/01.3001.0054.6451.
Pełny tekst źródłaChen, Yingchao, Peng Li, Erxing Yan, Zehuan Jing, Gaogao Liu i Zhao Wang. "A Knowledge Graph-Driven CNN for Radar Emitter Identification". Remote Sensing 15, nr 13 (27.06.2023): 3289. http://dx.doi.org/10.3390/rs15133289.
Pełny tekst źródłaDudczyk, Janusz. "Radar Emission Sources Identification Based on Hierarchical Agglomerative Clustering for Large Data Sets". Journal of Sensors 2016 (2016): 1–9. http://dx.doi.org/10.1155/2016/1879327.
Pełny tekst źródłaDeng, Jie, i Fulin Su. "SDRnet: A Deep Fusion Network for ISAR Ship Target Recognition Based on Feature Separation and Weighted Decision". Remote Sensing 16, nr 11 (27.05.2024): 1920. http://dx.doi.org/10.3390/rs16111920.
Pełny tekst źródłaGuo, Li Rong, Ming Hao He, Chun Lai Yu i Bing Qie Wang. "A New Method of Time Domain Coherency for Radar Emitter Signal Sorting". Advanced Materials Research 981 (lipiec 2014): 386–91. http://dx.doi.org/10.4028/www.scientific.net/amr.981.386.
Pełny tekst źródłaWang, Jundi, Xing Wang, Yuanrong Tian, Zhenkun Chen i You Chen. "A Radar Emitter Recognition Mechanism Based on IFS-Tri-Training Classification Processing". Electronics 11, nr 7 (29.03.2022): 1078. http://dx.doi.org/10.3390/electronics11071078.
Pełny tekst źródłaChen, Kuiyu, Shuning Zhang, Lingzhi Zhu, Si Chen i Huichang Zhao. "Modulation Recognition of Radar Signals Based on Adaptive Singular Value Reconstruction and Deep Residual Learning". Sensors 21, nr 2 (10.01.2021): 449. http://dx.doi.org/10.3390/s21020449.
Pełny tekst źródłaChen, Kuiyu, Shuning Zhang, Lingzhi Zhu, Si Chen i Huichang Zhao. "Modulation Recognition of Radar Signals Based on Adaptive Singular Value Reconstruction and Deep Residual Learning". Sensors 21, nr 2 (10.01.2021): 449. http://dx.doi.org/10.3390/s21020449.
Pełny tekst źródłaBeskostyi, Dmitrii F., Sergei G. Borovikov, Yurii V. Yastrebov i Ilya A. Sozontov. "Use of Aposteriori Information in the Implementation of Radar Recognition Systems Using Neural Network Technologies". Journal of the Russian Universities. Radioelectronics 22, nr 5 (4.12.2019): 52–60. http://dx.doi.org/10.32603/1993-8985-2019-22-5-52-60.
Pełny tekst źródłaBerry, Paul, Ngoc Hung Nguyen i Hai-Tan Tran. "Compressive Sensing-Based Bandwidth Stitching for Multichannel Microwave Radars". Sensors 20, nr 3 (24.01.2020): 665. http://dx.doi.org/10.3390/s20030665.
Pełny tekst źródłaAustin, G. L., A. Bellon, M. Riley i E. Ballantyne. "Navigation by Computer Processing of Marine Radar Images". Journal of Navigation 38, nr 3 (wrzesień 1985): 375–83. http://dx.doi.org/10.1017/s0373463300032744.
Pełny tekst źródłaLi, Ji, Huiqiang Zhang, Jianping Ou i Wei Wang. "A Radar Signal Recognition Approach via IIF-Net Deep Learning Models". Computational Intelligence and Neuroscience 2020 (28.08.2020): 1–8. http://dx.doi.org/10.1155/2020/8858588.
Pełny tekst źródłaXie, Peilong, Zhiqun Hu, Shujie Yuan, Jiafeng Zheng, Hanyuan Tian i Fen Xu. "RADAR Echo Recognition of Squall Line Based on Deep Learning". Remote Sensing 15, nr 19 (27.09.2023): 4726. http://dx.doi.org/10.3390/rs15194726.
Pełny tekst źródłaDudczyk, J. "A method of feature selection in the aspect of specific identification of radar signals". Bulletin of the Polish Academy of Sciences Technical Sciences 65, nr 1 (1.02.2017): 113–19. http://dx.doi.org/10.1515/bpasts-2017-0014.
Pełny tekst źródłaZhao, Lijun, Qingsheng Li i Bingbing Li. "SAR Target Recognition via Monogenic Signal and Gaussian Process Model". Mathematical Problems in Engineering 2022 (13.09.2022): 1–7. http://dx.doi.org/10.1155/2022/3086486.
Pełny tekst źródłaLi, Huiqin, Yanling Li, Chuan He, Hui Zhang i Jianwei Zhan. "Radar Working State Recognition Based on the Unsupervised and Incremental Method". Journal of Sensors 2021 (7.10.2021): 1–14. http://dx.doi.org/10.1155/2021/8673046.
Pełny tekst źródłaHUANG, DE-SHUANG. "APPLICATION OF GENERALIZED RADIAL BASIS FUNCTION NETWORKS TO RECOGNITION OF RADAR TARGETS". International Journal of Pattern Recognition and Artificial Intelligence 13, nr 06 (wrzesień 1999): 945–62. http://dx.doi.org/10.1142/s0218001499000525.
Pełny tekst źródłaLi, Yinqi. "Using sensor fusion technology to realize pedestrian recognition and hazard assessment". Theoretical and Natural Science 28, nr 1 (26.12.2023): 30–35. http://dx.doi.org/10.54254/2753-8818/28/20230463.
Pełny tekst źródłaCui, Hao, Min Su, Jia Liu i Lili Liu. "Template Construction of Radar Target Recognition based on Maximum Information Profile". Journal of Physics: Conference Series 2284, nr 1 (1.06.2022): 012021. http://dx.doi.org/10.1088/1742-6596/2284/1/012021.
Pełny tekst źródłaXue, Jian, Lan Tang, Xinggan Zhang, Lin Jin, Ming Hao i Youlin Gui. "Feature Evaluation and Comparison in Radar Emitter Recognition Based on SAHP". Electronics 10, nr 11 (27.05.2021): 1274. http://dx.doi.org/10.3390/electronics10111274.
Pełny tekst źródłaLi, Min, Gongjian Zhou, Bin Zhao i Taifan Quan. "Sparse Representation Denoising for Radar High Resolution Range Profiling". International Journal of Antennas and Propagation 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/875895.
Pełny tekst źródłaPark, Dong Hyun, Dong-Ho Seo, Jee-Hyeon Baek, Won-Jin Lee i Dong Eui Chang. "A Novel Batch Streaming Pipeline for Radar Emitter Classification". Applied Sciences 13, nr 22 (16.11.2023): 12395. http://dx.doi.org/10.3390/app132212395.
Pełny tekst źródłaHu, Rongchun, Zhenming Peng i Juan Ma. "A Vehicle Target Recognition Algorithm for Wide-Angle SAR Based on Joint Feature Set Matching". Electronics 8, nr 11 (1.11.2019): 1252. http://dx.doi.org/10.3390/electronics8111252.
Pełny tekst źródłaZhou, Junhao, Chao Sun, Kyongseok Jang, Shangyi Yang i Youngok Kim. "Human Activity Recognition Based on Continuous-Wave Radar and Bidirectional Gate Recurrent Unit". Electronics 12, nr 19 (27.09.2023): 4060. http://dx.doi.org/10.3390/electronics12194060.
Pełny tekst źródłaYe, Linting, Shengchang Lan, Kang Zhang i Guiyuan Zhang. "EM-Sign: A Non-Contact Recognition Method Based on 24 GHz Doppler Radar for Continuous Signs and Dialogues". Electronics 9, nr 10 (26.09.2020): 1577. http://dx.doi.org/10.3390/electronics9101577.
Pełny tekst źródłaWaqar, Sahil, Muhammad Muaaz i Matthias Pätzold. "Human Activity Signatures Captured under Different Directions Using SISO and MIMO Radar Systems". Applied Sciences 12, nr 4 (10.02.2022): 1825. http://dx.doi.org/10.3390/app12041825.
Pełny tekst źródłaWang, Xing, Wen Hong, Yunqing Liu, Dongmei Hu i Ping Xin. "SAR Image Aircraft Target Recognition Based on Improved YOLOv5". Applied Sciences 13, nr 10 (17.05.2023): 6160. http://dx.doi.org/10.3390/app13106160.
Pełny tekst źródła