文献
J-GLOBAL ID:201702216255018653
整理番号:17A1721614
基底関数としての物理的ウェーブレットを用いたスパースBayes学習に基づく地震雑音除去【Powered by NICT】
Sparse Bayesian Learning-Based Seismic Denoise by Using Physical Wavelet as Basis Functions
著者 (3件):
Deng Li
(State Key Laboratory of Petroleum Resources and Prospecting, and the China National Petroleum Corporation Key Laboratory of Geophysical Exploration, China University of Petroleum, Beijing, China)
,
Yuan Sanyi
(State Key Laboratory of Petroleum Resources and Prospecting, and the China National Petroleum Corporation Key Laboratory of Geophysical Exploration, China University of Petroleum, Beijing, China)
,
Wang Shangxu
(State Key Laboratory of Petroleum Resources and Prospecting, and the China National Petroleum Corporation Key Laboratory of Geophysical Exploration, China University of Petroleum, Beijing, China)
資料名:
IEEE Geoscience and Remote Sensing Letters
(IEEE Geoscience and Remote Sensing Letters)
巻:
14
号:
11
ページ:
1993-1997
発行年:
2017年
JST資料番号:
W1397A
ISSN:
1545-598X
CODEN:
IGRSBY
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)