Blind noisy mixture separation for independent/dependent sources through a regularized criterion on copulas

网站地图 | English | 公务邮箱

About the library

Background
History
Leadership
Organization

Opening Hours
Collections
Help Via Email

Electronic Information Resources

Blind noisy mixture separation for independent/dependent sources through a regularized criterion on copulas

详细信息查看全文

作者：A. Ghazdali^a ; ^{a.ghazdali@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; M. El Rhabi^b ; ^{elrhabi@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; H. Fenniri^c ; ^{hassan.fenniri@univ-reims.fr" class="auth_mail" title="E-mail the corresponding author} ; A. Hakim^a ; ^{abdelilah.hakim@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; A. Keziou^d ; ^{amor.keziou@univ-reims.fr" class="auth_mail" title="E-mail the corresponding author}
关键词：Blind source separation ; Noisy instantaneous mixtures ; Copulas ; Total variation ; Mutual information ; Kullbak&ndash ; Leibler divergence between copulas
刊名：Signal Processing
出版年：2017
出版时间：February 2017
年：2017
卷：131
期：Complete
页码：502-513
全文大小：2783 K

文摘

•: The paper provides a new Blind source separation for noisy mixtures of independent/dependent sources.
•: The proposed approach combine TV-regularization for denoising and separation by minimizing TV-regularized Kullback–Leibler divergence between copulas.
•: The efficiency and robustness properties of the proposed approach have been illustrated by simulations.

NGLC 2004-2010.National Geological Library of China All Rights Reserved.
Add:29 Xueyuan Rd,Haidian District,Beijing,PRC. Mail Add: 8324 mailbox 100083
For exchange or info please contact us via email.