An effective approach to attenuate random noise based on compressive sensing and curvelet transform-Reference-Cited by-同舟云学术

An effective approach to attenuate random noise based on compressive sensing and curvelet transform

Published:2016-03-08 Issue:2 Volume:13 Page:135-145
ISSN:1742-2132
Container-title:Journal of Geophysics and Engineering
language:en
Short-container-title:

Author:

Liu Wei¹,Cao Siyuan¹,Chen Yangkang²,Zu Shaohuan¹

Affiliation:

1. State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing, Fuxue Road 18th, Beijing 102249, People’s Republic of China

2. Bureau of Economic Geology, John A. and Katherine G. Jackson School of Geosciences, The University of Texas at Austin, University Station, Box X, Austin, TX 78713-8924, USA

Funder

National Science and Technology Major Project of China

Publisher

Oxford University Press (OUP)

Subject

Management, Monitoring, Policy and Law,Industrial and Manufacturing Engineering,Geology,Geophysics

Link

http://stacks.iop.org/1742-2140/13/i=2/a=135/pdf

Reference40 articles.

1. Local singular value decomposition for signal enhancement of seismic data;Bekara;Geophysics,2007

2. Denoising seismic data using the nonlocal means algorithm;Bonar;Geophysics,2012

3. Signal enhancement—a composite property mapping algorithm;Cadzow;IEEE Trans. Acoust. Speech Signal Process.,1988

4. Random noise reduction;Canales;54th Annual Int. Meeting, SEG, Expanded Abstracts,1984

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