Combined Sparse and Low-Rank Recovery

Authored by: Angshul Majumdar

Compressed Sensing for Engineers

Print publication date:  December  2018
Online publication date:  December  2018

Print ISBN: 9780815365563
eBook ISBN: 9781351261364
Adobe ISBN:

10.1201/9781351261364-8

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Abstract

In previous chapters, we learnt about sparse reconstruction and low-rank recovery techniques. In this concluding chapter of algorithms part, we will learn a few combined models involving both sparse and low-rank recovery. These do not always enjoy the theoretical constructs of sparse reconstruction and low-rank reconstruction but are practical powerful tools that yield very good results.

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