Denoising method of acoustic emission and electromagnetic signals of rocks; Перспективы развития фундаментальных наук; Т. 1 : Физика
| Parent link: | Перспективы развития фундаментальных наук=Prospects of Fundamental Sciences Development: сборник научных трудов XXI Международной конференции студентов, аспирантов и молодых ученых, г. Томск, 23-26 апреля 2024 г./ Национальный исследовательский Томский политехнический университет ; под ред. И. А. Курзиной [и др.].— .— Томск: Изд-во ТПУ Т. 1 : Физика.— 2024.— С. 377-379 |
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| Sumari: | Заглавие с экрана Nonlinear and non-stationary data are better analyzed with Hilbert-Huang Transform (HHT). Denoising signals are essential for various reasons. For better interpretation and improvement of signal quality and analysis of the non-stationary signals of acoustic emission and electromagnetic signals emitted by rocks, we introduce the CEEMDAN+Wavelet signal denoising algorithm using HHT, and the verified synthesized signal has demonstrated good results Текстовый файл |
| Idioma: | anglès |
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2024
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| Accés en línia: | http://earchive.tpu.ru/handle/11683/80509 |
| Format: | Electrònic Capítol de llibre |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=674786 |
| Sumari: | Заглавие с экрана Nonlinear and non-stationary data are better analyzed with Hilbert-Huang Transform (HHT). Denoising signals are essential for various reasons. For better interpretation and improvement of signal quality and analysis of the non-stationary signals of acoustic emission and electromagnetic signals emitted by rocks, we introduce the CEEMDAN+Wavelet signal denoising algorithm using HHT, and the verified synthesized signal has demonstrated good results Текстовый файл |
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