Improving Smoothed l0 Norm in Compressive Sensing Using Adaptive Parameter Selection

Abstract

Signal reconstruction in compressive sensing involves finding a sparse solution that satisfies a set of linear constraints. Several approaches to this problem have been considered in existing reconstruction algorithms. They each provide a trade-off between reconstruction capabilities and required computation time. In an attempt to push the limits for this… (More)

Topics

4 Figures and Tables

Statistics

0102030201520162017
Citations per Year

Citation Velocity: 7

Averaging 7 citations per year over the last 3 years.

Learn more about how we calculate this metric in our FAQ.

Cite this paper

@article{Oxvig2012ImprovingSL, title={Improving Smoothed l0 Norm in Compressive Sensing Using Adaptive Parameter Selection}, author={Christian Schou Oxvig and Patrick Steffen Pedersen and Thomas Arildsen and Torben Larsen}, journal={CoRR}, year={2012}, volume={abs/1210.4277} }