Super-Resolution Compressed Sensing: An Iterative Reweighted Algorithm for Joint Parameter Learning and Sparse Signal Recovery

Title
Super-Resolution Compressed Sensing: An Iterative Reweighted Algorithm for Joint Parameter Learning and Sparse Signal Recovery
Authors
Keywords
-
Journal
IEEE SIGNAL PROCESSING LETTERS
Volume 21, Issue 6, Pages 761-765
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Online
2014-04-08
DOI
10.1109/lsp.2014.2316004

Ask authors/readers for more resources

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started