Super-Resolution Compressed Sensing for Line Spectral Estimation: An Iterative Reweighted Approach

DOI10.1109/TSP.2016.2572041zbMath1414.94190OpenAlexW2400598469MaRDI QIDQ4620917

Feiyu Wang, Jun Fang, Yanning Shen, Hongbin Li, Rick S. Blum

Publication date: 8 February 2019

Published in: IEEE Transactions on Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/tsp.2016.2572041

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (1)

Sparse Bayesian learning with automatic-weighting Laplace priors for sparse signal recovery

This page was built for publication: Super-Resolution Compressed Sensing for Line Spectral Estimation: An Iterative Reweighted Approach