Sparse Modeling

Authored by: Rish Irina , Grabarnik Genady Ya.

Encyclopedia of Image Processing

Print publication date:  November  2018
Online publication date:  November  2018

Print ISBN: 9781482244908
eBook ISBN: 9781351032742
Adobe ISBN:

10.1201/9781351032742-120060006

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Abstract

In this entry, we primarily focus on continuous sparse signals, following the developments in modern sparse statistical modeling and compressed sensing. Clearly, no single entry can possibly cover all aspects of these rapidly growing fields. Thus, our goal is to provide a reasonable introduction to the key concepts and survey major recent results in sparse modeling and signal recovery, such as common problem formulations arising in sparse regression, sparse Markov networks and sparse matrix factorization, several basic theoretical aspects of sparse modeling, state-of-the-art algorithmic approaches, as well as some practical applications. We start with an overview of several motivating practical problems that give rise to sparse signal recovery formulations.

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