Article (Scientific journals)
Successive convex approximation algorithms for sparse signal estimation with nonconvex regularizations
Yang, Yang; Pesavento, Marius; Chatzinotas, Symeon et al.
2018In IEEE Journal of Selected Topics in Signal Processing, 12 (6), p. 1286-1302
Peer reviewed
 

Files


Full Text
[J9]SCA_NonconvexRegularization.pdf
Author postprint (494.26 kB)
Download
Annexes
code.zip
(6.28 kB)
Matlab code
Download

All documents in ORBilu are protected by a user license.

Send to



Details



Disciplines :
Electrical & electronics engineering
Author, co-author :
Yang, Yang ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Pesavento, Marius
Chatzinotas, Symeon  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Ottersten, Björn ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
External co-authors :
yes
Language :
English
Title :
Successive convex approximation algorithms for sparse signal estimation with nonconvex regularizations
Publication date :
December 2018
Journal title :
IEEE Journal of Selected Topics in Signal Processing
Volume :
12
Issue :
6
Pages :
1286-1302
Peer reviewed :
Peer reviewed
European Projects :
H2020 - 742648 - AGNOSTIC - Actively Enhanced Cognition based Framework for Design of Complex Systems
Funders :
CE - Commission Européenne [BE]
Available on ORBilu :
since 15 October 2018

Statistics


Number of views
493 (49 by Unilu)
Number of downloads
649 (28 by Unilu)

Scopus citations®
 
29
Scopus citations®
without self-citations
18
WoS citations
 
22

Bibliography


Similar publications



Contact ORBilu