Paper Info
Title
On the Best Choice of Lasso Program Given Data Parameters
Abstract
Compressed sensing (CS) is a paradigm in which a structured high-dimensional signal may be recovered from random, under-determined, and corrupted linear measurements. Lasso programs are effective for solving CS problems due to their proven ability to leverage underlying signal structure. Three popular Lasso programs are equivalent in a sense and sometimes used interchangeably. Tuned by a governing...
Year
DOI
Venue
2022
10.1109/TIT.2021.3138772
IEEE Transactions on Information Theory
Keywords
DocType
Volume
Sensitivity,Geophysical measurements,Sensors,Numerical models,Fasteners,Convex functions,Compressed sensing
Journal
68
Issue
ISSN
Citations 
4
0018-9448
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Aaron Berk101.01
Yaniv Plan2117457.19
Özgür Yilmaz368551.36