Chapter 23

Sparsity-Aware Learning and Compressed Sensing: An Overviewent

Sergios Theodoridis*, Yannis Kopsinis* and Konstantinos Slavakis,    *Department of Informatics and Telecommunication, University of Athens, Athens, Greece,    Digital Technology Center, University of Minnesota, Minneapolis, USA, stheodor@di.uoa.gr, kopsinis@ieee.org, slavakis@dtc.umn.edu

1.23.1 Introduction

The notion of regularization has been widely used as a tool to address a number of problems that are usually encountered in Machine Learning. Improving the performance of an estimator by shrinking the norm of the Minimum Variance Unbiased (MVU) estimator, guarding against ...

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