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多频电场信号的STL分解及残差特征分析
STL decomposition and residual feature analysis of multi-frequency electric field signals
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1 防灾科技学院 河北廊坊 2 应急管理部国家自然灾害防治研究院 北京
[1] 余涛, 毛田, 王云冈, 等. 汶川特大地震前电离层主要参量变化[J]. Chinese Science Bulletin, 2009, 54(6): 1086-1092.
[2] Leonard R S, Barnes Jr R A. Observation of ionospheric disturbances following the Alaska earthquake[J]. Journal of Geophysical Research, 1965, 70(5): 1250-1253.
[3] iu J Y, Chen Y I, Pulinets S A, et al. Seismo‐ionospheric signatures prior to M≥ 6.0 Taiwan earthquakes[J]. Geophysical research letters, 2000, 27(19): 3113-3116.
[4] Shen X H, Zhang X M, Yuan S G, et al. The state-of-the-art of the China Seismo-Electromagnetic Satellite mission[J]. Science China Technological Sciences, 2018, 61(5): 634-642.
[5] Zhima Z, Dapeng L, Xiaoying S, et al. Current status and scientific progress of the Zhangheng-1 satellite mission[J]. Reviews of Geophysics and Planetary Physics, 2022, 54(4): 455-465.
[6] Theodosiou M. Forecasting monthly and quarterly time series using STL decomposition[J]. International Journal of Forecasting, 2011, 27(4): 1178-1195.
[7] Yin H, Jin D, Gu Y H, et al. STL-ATTLSTM: vegetable price forecasting using STL and attention mechanism-based LSTM[J]. Agriculture, 2020, 10(12): 612.
[8] 何宏玮, 王秀英, 赵国存, 等. 张衡一号卫星探测的赤道附近电场分布及其与电离层分布的关系[J]. Chin. J. Space Sci. 空间科学学报, 2023,43(5):821-832.
[9] 宋俊杰. 强震震例电磁异常分析及智能报告生成方法研究与实现[D]. 廊坊:防灾科技学院, 2025.
[10] Cleveland R B, Cleveland W S, McRae J E, et al. STL: A seasonal-trend decomposition[J]. J. off. Stat, 1990, 6(1): 3-73.
[11] Huang J P, Lei J G, Li S X, et al. The Electric Field Detector (EFD) onboard the ZH‐1 satellite and first observational results[J]. Earth and Planetary Physics, 2018, 2(6): 469-478.
[12] 刘世为. VLF 电磁波在地-电离层波导中的传输特性研究[D]. 哈尔滨:哈尔滨工业大学, 2016.
[13] Zawdie K A, Dhadly M S, McDonald S E, et al. Day-to-day variability of the bottomside ionosphere[J]. Journal of Atmospheric and Solar-Terrestrial Physics, 2020, 205: 105299.
李忠, 潘可鑫, 泽仁志玛. 多频电场信号的STL分解及残差特征分析 [J]. 工程学研究. 2026; 5; (1). 14 - 20.
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