@inproceedings{17c4d2115193407582208cfe50b8a9a8,
title = "Using the coefficient of variation to improve the sparsity of seismic data",
abstract = "In this work we propose using the coefficient of variation as a cost function to improve seismic data representation in the curvelet domain. Performance improvement is demonstrated in denoising and compressed sensing data recovery. The demonstrated approach can be extended to other seismic applications and alternate transforms.",
keywords = "Compressed Sensing, Curvelet, Sparsity",
author = "Hasan Al-Marzouqi and Ghassan Alregib",
year = "2013",
doi = "10.1109/GlobalSIP.2013.6736967",
language = "British English",
isbn = "9781479902484",
series = "2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings",
pages = "630",
booktitle = "2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings",
note = "2013 1st IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 ; Conference date: 03-12-2013 Through 05-12-2013",
}