Suppressing random noise in seismic signals using wavelet thresholding based on improved chaotic fruit fly optimization
Abstract Suppressing random noise in seismic signals is an important issue in research on processing seismic data. Such data are difficult to interpret because seismic signals usually contain a large amount of random noise. While denoising can be used to reduce noise, most denoising methods require...
| 出版年: | EURASIP Journal on Advances in Signal Processing |
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| 主要な著者: | , , , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
SpringerOpen
2024-05-01
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| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1186/s13634-024-01161-z |