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Time-Frequency Characteristics of Seismic Signals of Second-Sampling Instruments Based on Variational Mode Decomposition Optimized by Sparse Index
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Xianxin TU1, 2, Pinji LÜ1, 2, Cheng WENG1, 2, Yifan AN1, 2, Zhihui ZENG1, 2, Bo KANG1, 2
Journal of Geodesy and Geodynamics | 2025, 45(11) : 1204 - 1210
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Journal of Geodesy and Geodynamics | 2025, 45(11): 1204-1210
Time-Frequency Characteristics of Seismic Signals of Second-Sampling Instruments Based on Variational Mode Decomposition Optimized by Sparse Index
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Xianxin TU1, 2, Pinji LÜ1, 2, Cheng WENG1, 2, Yifan AN1, 2, Zhihui ZENG1, 2, Bo KANG1, 2
Affiliations
  • 1 Key Laboratory of Earthquake Geodesy, CEA, 40 Hongshance Road, Wuhan 430071, China
  • 2 Hubei Earthquake Agency, 48 Hongshance Road, Wuhan 430071, China

    • TU Xianxin, engineer, majors in earthquake monitoring and prediction, E-mail: .

About Author:

TU Xianxin, engineer, majors in earthquake monitoring and prediction, E-mail: .

Published: 2025-11-15 doi: 10.14075/j.jgg.2024.11.539
Outline
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The variational mode decomposition(VMD) exhibits superior performance, and the setting of K and alpha parameters significantly influences its decomposition result. We optimize the selection of these two parameters based on sparse index, enabling the adaptive determination of the optimal K and alpha values. On this basic, VMD method is applied to seismic signal data observed by four types of second-sampling instruments at Yichang station, including BBVS-60 seismometers, DZW gravimeters, VP-type tiltmeters, and water level gauges, and time-frequency analysis is conducted combining with Hilbert transform. The results show that the optimal K and alpha values differ for each of four instruments. The K value represents the type of coseismic signal frequencies that can be decomposed, suggesting that the four instruments respond differently to the same seismic signal.

variational mode decomposition  /  parameter optimization  /  second-sampling instrument  /  seismic signal  /  time-frequency analysis
涂先新, 吕品姬, 翁骋, 安一凡, 曾智辉, 康波. 基于稀疏指标优化变分模态分解的秒采样仪器地震信号时频特征. 大地测量与地球动力学, 2025 , 45 (11) : 1204 -1210 . DOI: 10.14075/j.jgg.2024.11.539
Xianxin TU, Pinji LÜ, Cheng WENG, Yifan AN, Zhihui ZENG, Bo KANG. Time-Frequency Characteristics of Seismic Signals of Second-Sampling Instruments Based on Variational Mode Decomposition Optimized by Sparse Index[J]. Journal of Geodesy and Geodynamics, 2025 , 45 (11) : 1204 -1210 . DOI: 10.14075/j.jgg.2024.11.539
Funding
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  • National Natural Science Foundation of China(42174177)
  • The Spark Program of Earthquake Technology of CEA(XH24029C)
Appendix
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Year 2025 volume 45 Issue 11
25
10
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Article Info
doi: 10.14075/j.jgg.2024.11.539
  • Receive Date：2024-11-27
  • Online Date：2026-10-29
  • Published：2025-11-15
Article Data
Affiliations
History
  • Received：2024-11-27
Funding
National Natural Science Foundation of China(42174177)
The Spark Program of Earthquake Technology of CEA(XH24029C)
Affiliations
    1 Key Laboratory of Earthquake Geodesy, CEA, 40 Hongshance Road, Wuhan 430071, China
    2 Hubei Earthquake Agency, 48 Hongshance Road, Wuhan 430071, China
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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