Academic Press Library in Signal Processing

Chapter 23

Sparsity-Aware Learning and Compressed Sensing: An Overview

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, [e-mail], [e-mail], [e-mail]

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 ...