Autoencoder neural network application for coherent noise attenuation in high frequency shallow marine seismic data
Conventional noise attenuation methods involve transforming noisy data into a filter domain where noise and signal can be separated. Deleting the noise components and transforming back the data into original domain, the filtered data is achieved. Coefficients representing the noise in the filter dom...
保存先:
| 主要な著者: | , , |
|---|---|
| フォーマット: | Conference or Workshop Item |
| 出版事項: |
Offshore Technology Conference
2020
|
| オンライン･アクセス: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097623343&partnerID=40&md5=5fc01a4e1049bdb22d8967d27ed6dfc7 http://eprints.utp.edu.my/24650/ |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|