SparseTFNet: A Physically Informed Autoencoder for Sparse Time–Frequency Analysis of Seismic Data-Reference-Cited by-同舟云学术

SparseTFNet: A Physically Informed Autoencoder for Sparse Time–Frequency Analysis of Seismic Data

Published:2022 Issue: Volume:60 Page:1-12
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Yang Yang¹^ORCID,Lei Youbo²,Liu Naihao¹^ORCID,Wang Zhiguo³^ORCID,Gao Jinghuai¹,Ding Jicai⁴

Affiliation:

1. School of Information and Communications Engineering, Xi’an Jiaotong University, Xi’an, China

2. School of Software Engineering, Xi’an Jiaotong University, Xi’an, China

3. School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China

4. Geophysics Key Laboratory, Technology Research and Development Center, Research Institute of China National Offshore Oil Corporation (CNOOC), Beijing, China

Funder

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9633014/09916314.pdf?arnumber=9916314

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