Seismic communication data processing based on compressed sensing algorithm

References

1. Bin, K., Luo, S. & Zhang, X. (2021) Compressive data gathering with generative adversarial networks for wireless geophone networks. IEEE Geoscience and Remote Sensing Letters, 18, 558–562.
   [Google Scholar]
2. Chang, P. & Miao, G. (2018) Optimal operation of base stations with deep sleep and discontinuous transmission. IEEE Transactions on Vehicular Technology, 67, 11113–11126.
   [Google Scholar]
3. Chen, C., Zhou, G. & Lin, Y. (2023) Claims cross‐domain Wi‐Fi sensing with channel state information: a survey. ACM Computing Surveys, 55, 1–37.
   [Google Scholar]
4. Chen, Z.B., Lin, J. & Liang, T.C. (2000) Design for vibrator field experiment based on vibrator‐earth system. Global Geology, 3, 107–113.
   [Google Scholar]
5. Esmaeili, M. & Hivadi, M. (2007) G‐projectable and delta‐projectable binary linear block codes. Designs, Codes and Cryptography, 45, 51–64.
   [Google Scholar]
6. Fan, M., Song, K. & Fan, Y. (2020) Reconfigurable low‐pass filter with sharp roll‐off and wide tuning range. IEEE Microwave and Wireless Components Letters, 30, 649–652.
   [Google Scholar]
7. Fedorov, A.V., Asming, V.E. & Jevtjugina, Z.A. (2019) Automated seismic monitoring system for the European Arctic. Seismic Instruments, 55, 17–23.
   [Google Scholar]
8. Gang, W., Niu, M.Y. & Fu, F.W. (2019) Deterministic constructions of compressed sensing matrices based on codes. Cryptography and Communications, 11, 759–775.
   [Google Scholar]
9. Giulio, G.D., Punzo, M. & Bruno, P.P. (2019) Using a vibratory source at Mt. Etna (Italy) to investigate the wavefield polarization at Pernicana fault. Near Surface Geophysics, 17, 313––329.
   [Google Scholar]
10. Gómez‐García, R., Yang, L., Muñoz‐Ferreras, J. & Psychogiou, D. (2019) Single/multi‐band coupled‐multi‐line filtering section and its application to RF diplexers, bandpass/bandstop filters, and filtering couplers. IEEE Transactions on Microwave Theory and Techniques, 67, 3959–3972.
    [Google Scholar]
11. Hanafy, S.M., Cao, W., McCarter, K. & Schuster, G.T. (2009) Using super‐stacking and super‐resolution properties of time‐reversal mirrors to locate trapped miners. The Leading Edge, 28, 302–307.
    [Google Scholar]
12. Hanafy, S.M. & Schuster, G.T. (2011) Two applications of time reversal mirrors: seismic radio and seismic radar. The Journal of the Acoustical Society of America, 130, 1985–1994.
    [Google Scholar]
13. Hao, J.J. & Sun, X.C. (2014) Analysis and comparison of several through‐the‐earth communication technologies for mining. Journal of Hunan University of Science and Technology, 1, 59–63.
    [Google Scholar]
14. Hao, J.J. & Wang, F.Y. (2012) Multipath characteristics of through‐the‐earth stratified medium channel of elastic wave signal communication. Journal of China Coal Society, 37, 695–699.
    [Google Scholar]
15. He, Q.H., Chen, X.Z., Zhang, B. & Wu, Y.R. (2017) Design of elastic wave receiving scheme in stratum communication system. Electronics Quality, 1, 97–102.
    [Google Scholar]
16. Huang, M., Wei, P. & Liu, X. (2019) An efficient encoding voxel‐based segmentation (EVBS) algorithm based on fast adjacent voxel search for point cloud plane segmentation. Remote Sensing, 11, 2727.
    [Google Scholar]
17. Ichimura, T., Uemoto, T. & Hara, A. (2014) Emergence of altruism behavior in army ant‐based social evolutionary system. SpringerPlus, 3, 1–12.
    [Google Scholar]
18. Jia, P., Yang, J., Liu, H. & Hu, E. (2018) Improving amplitude‐modulated signals by re‐scaled and twice sampling vibrational resonance methods. Pramana, 91, 38.
    [Google Scholar]
19. Jiang, T., Lin, J., Yang, D. & Chen, Z.B. (2008) Analysis of directional seismic signal based on phased‐array vibrator system. Chinese Journal of Geophysics, 51, 1551–1556.
    [Google Scholar]
20. Jiang, T., Qin, K. & Hu, Q. (2022) Feasibility of electromagnetic vibroseis seismic wave communication and design of carrier signal. Pure and Applied Geophysics, 179, 765–775.
    [Google Scholar]
21. Jiang, Y.J., Chen, Y.D., Tian, R.Y., Wang, L.X., Lv, S.X., Lin, J. & Feng, X.X. (2021) Application of the segmented correlation technology in seismic communication with Morse code. Applied Science, 11, 1947.
    [Google Scholar]
22. Jokar, M.H., Rahnema, H. & Boaga, J. (2019) Application of surface waves for detecting lateral variations: buried inclined plane. Near Surface Geophysics, 17, 501–531.
    [Google Scholar]
23. Kozak, E.C. & Uetz, G.W. (2016) Cross‐modal integration of multimodal courtship signals in a wolf spider. Animal Cognition, 19, 1173–1181.
    [Google Scholar]
24. Li, F., Bai, T., Nakata, N., Lyu, B. & Song, W. (2020) Efficient seismic source localization using simplified Gaussian beam time reversal imaging. IEEE Transactions on Geoscience and Remote Sensing, 58, 4472–4478.
    [Google Scholar]
25. Lin, L., Li, Q. & Xi, X. (2023) Asynchronous secure communication scheme using a new modulation of message on optical chaos. Optical and Quantum Electronics, 55, 1–19.
    [Google Scholar]
26. Lowres, N., Duckworth, A. & Redfern, J. (2020) Use of a machine learning program to correctly triage incoming SMS text replies from a cardiovascular text‐based secondary prevention program: a feasibility study (preprint). JMIR mHealth and uHealth, 8, e19200.
    [Google Scholar]
27. Naghizadeh, M., Snyder, D. & Cheraghi, S. (2019) Acquisition and processing of wider bandwidth seismic data in crystalline crust: progress with the metal earth project. Minerals, 9, 145.
    [Google Scholar]
28. Parker, L., Thurber, C. & Zeng, X. (2018) Active‐source seismic tomography at the Brady geothermal field, Nevada, with dense nodal and fiber‐optic seismic arrays. Seismological Research Letters, 89, 1629–1640.
    [Google Scholar]
29. Pei, S. & Huang, S. (2019) 2‐D Laguerre distributed approximating functional: a circular low‐pass/band‐pass filter. IEEE Transactions on Circuits and Systems II—Express Briefs, 66, 818–822.
    [Google Scholar]
30. Pei, X., Meng, C. & Li, M. (2019) Measurement of soil electrical conductivity based on direct digital synthesizer (DDS) and digital oscilloscope. International Journal of Agricultural and Biological Engineering, 12, 162–168.
    [Google Scholar]
31. Perla, R.J. & Provost, L.P. (2012) Judgment sampling: a health care improvement perspective. Quality Management in Health Care, 21, 169–175.
    [Google Scholar]
32. Ralchenkoa, M., Svilansb, M., Samsona, C. & Roper, M. (2015) Finite‐difference time‐domain modelling of through‐the‐earth radio signal propagation. Computers and Geosciences, 85A, 184–195.
    [Google Scholar]
33. Rashid, F., Edmondson, A.C. & Leonard, H.B. (2013) Leadership lessons from the Chilean mine rescue. Harvard Business Review, 91, 113–134.
    [Google Scholar]
34. Ryabov, I.V., Strelnikov, I.V. & Yuriev, P.M. (2018) A direct digital synthesizer of complex signals. Instruments and Experimental Techniques, 61, 788–795.
    [Google Scholar]
35. Tyagi, P. & Pandey, R. (2020) High‐speed and area‐efficient scalable n‐bit digital comparator. IET Circuits Devices and Systems, 14, 450–458.
    [Google Scholar]
36. Wang, D., Li, L., Ji, Y. & Yan, Y. (2018) Model recovery for Hammerstein systems using the auxiliary model based orthogonal matching pursuit method. Applied Mathematical Modelling, 54, 537–550.
    [Google Scholar]
37. Wang, K.K., Jiang, T., Li, S., Wang, X., Hu, Q.Y. & Qin, K. (2023) Feasibility of seismic wave communication using electromagnetic vibrator under strong environmental noise interference: field experimental research. The Review of Scientific Instruments, 94, 014503.
    [Google Scholar]
38. Xiao, S., Li, T. & Yan, Y. (2018) Compressed sensing in wireless sensor networks under complex conditions of internet of things. Cluster Computing, 22, 1–11.
    [Google Scholar]
39. Zhong, X., Ji, F. & Chen, F. (2020) A new acoustic channel interference model for 3‐dimensional underwater acoustic sensor networks and throughput analysis. IEEE Internet of Things Journal, 7, 9930–9942.
    [Google Scholar]
40. Zöttl, M., Vullioud, P., Mendonça, R., Ticó, M.T., Gaynor, D., Mitchell, A. & Clutton‐Brock, T. (2016) Differences in cooperative behavior among Damaraland mole rats are consequences of an age‐related polyethism. Proceedings National Academy of Science USA, 113, 10382–10387.
    [Google Scholar]