Online Adaptive Estimation of Sparse Signals: Where RLS Meets the $\ell_1$ -Norm

By Daniele Angelosante, Juan Andrés Bazerque, Georgios B. Giannakis. IEEE Transactions on Signal Processing, 2010

304 citations recorded by the source corpus.

Subfields: Computational Mechanics, Signal Processing

View Paper: https://www.semanticscholar.org/paper/257576f5c056198caa1d8d69598b6da27968dfcf

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

1. Rebecca M. Willett
2. Eric C. Hall
3. David J. Brady

In Signal Processing

1. Rebecca M. Willett
2. Eric C. Hall

Citations in the corpus

• Online Convex Optimization in Dynamic Environments (2015, background): “More recent work has examined the role of sparsity in online methods such as recursive least squares (RLS) algorithms, but do not account for dynamic environments [19].”
• Online Optimization in Dynamic Environments (2013, background): “More recent work has examined the role of sparsity in online methods such as recursive least squares (RLS) algorithms, but do not account for dynamic environments [18].”