RUS  ENG
Full version
JOURNALS // Vestnik KRAUNC. Fiziko-Matematicheskie Nauki

Vestnik KRAUNC. Fiz.-Mat. Nauki, 2022, Volume 41, Number 4, Pages 120–136 (Mi vkam574)

Modern methods of processing and analysis of geophysical pulse signals
O. O. Lukovenkova, M. A. Mishenko, Yu.I. Senkevich, A. O. Shcherbina

References

1. Marapulets Yu. V., Senkevich Yu. I. , Lukovenkova O. O., Solodchuk A. A., Larionov I. A., Mischenko M. A., Malkin E. I., Scherbina A. O., Gapeev M. I., Kompleksnyi analiz akusticheskikh i elektromagnitnykh signalov dlya otsenki urovnya seismicheskoi opasnosti, Dalnauka, Vladivostok, 2020, 120 pp.
2. Druzhin G. I., Bashkuev Yu. B., Naguslaeva I. B., Cherneva N. V., Shevtsov B. M., “Lightning according to electromagnetic field observations in Buryatiya”, Proceedings, 22nd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics (Tomsk, Russian Federation, November 29, 2016), v. 10035, 2016 DOI: 10.1117/12.2247926
3. Marapulets Yu. V., Shevtsov B. M., Mezomasshtabnaya akusticheskaya emissiya, Dalnauka, Vladivostok, 2012, 126 pp.
4. Fu K. S., Mui J. K., “A survey on image segmentation”, Pattern Recognition, 13:1 (1981), 3–16 DOI: 10.1016/0031-3203(81)90028-5  crossref
5. Frucci M., Sanniti G., Sanniti di Baja G., “From Segmentation to Binarization of Gray-Level Images”, Journal of Pattern Recognition Research, 3:1 (2008), 1–13 DOI: 10.13176/11.54  crossref
6. Evtikhiev N. N., Kozlov A. V., Krasnov V. V., Rodin V. G., Starikov R. S., Cheremkhin P. A., “A method for measuring digital camera noise by automatic segmentation of a striped target”, Computer Optics, 42:2 (2021), 267–276 DOI: 10.18287/2412-6179-CO-815
7. Budunova K. A., Kravchenko V. F., Pustovoit V. I., “Digital Frequency-Selective Filters Based on Spectra of Atomic Functions”, Journal of Communications Technology and Electronics, 64 (2019), 1095–1100 DOI: 10.1134/S1064226919100036  crossref
8. Lukovenkova O., Marapulets Yu., Kim A., Tristanov A., “A Complex Method for Automatic Detection of Geoacoustic Emission Pulses Preceding Earthquakes”, Proceedings, 2018 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon) (Vladivostok, Russia, October 03–04, 2018), 2018 DOI: 10.1109/FarEastCon.2018.8602865
9. Srikar G., Prasad Ch. R., “An Enhanced Audio Noise Removal Based on Wavelet Transform and Filters”, Advances in Computational Sciences and Technology, 10 (2017), 3111–3121
10. Srivastava M., Anderson C. L., Freed J. H., “A New Wavelet Denoising Method for Selecting Decomposition Levels and Noise Thresholds”, IEEE Access, 4 (2016), 3862–3877 DOI: 10.1109/ACCESS.2016.2587581  crossref  elib
11. Advances in Wavelet Theory and Their Applications in Engineering, Physics and Technology, eds. D. Baleanu, IntechOpen, 2012, 648 pp.
12. Donoho D. L., “De-noising by soft-thresholding”, IEEE Transactions on Information Theory, 41 (1995), 613-–627 DOI: 10.1109/18.382009  crossref
13. Cai T., “On block thresholding in wavelet regression: Adaptivity, block size, and threshold level”, Statistica Sinica, 12 (2002), 1241–-1273
14. Abramovich F., Benjamini Y., Donoho D. L., Johnstone I. M., “Adapting to Unknown Sparsity by Controlling the False Discovery Rate”, The Annals of Statistics, 34 (2006), 584–-653 DOI: 10.1214/009053606000000074
15. Johnstone I. M., Silverman B. W., “Needles and Straw in Haystacks: Empirical Bayes Estimates of Possibly Sparse Sequences”, The Annals of Statistics, 32 (2004), 1594-–1649 DOI: 10.1214/009053604000000030
16. Lukovenkova O., “Application of adaptive wavelet thresholding to recovery geoacoustic signal pulse waveforms”, EPJ Web of Conferences, volume 254, XII International Conference “Solar-Terrestrial Relations and Physics of Earthquake Precursors” (Paratunka, Kamchatka region, Russia, September 27–October 1, 2021), 2021 DOI: 10.1051/epjconf/202125402004
17. Mallat S. G., Zhang Zh., “Matching pursuits with time-frequency dictionaries”, IEEE Transactions on Signal Processing, 41:12 (1993), 3397-–3415 DOI: 10.1109/78.258082  crossref


© Steklov Math. Inst. of RAS, 2026