Sparse vectors' support recovery and its applications

We consider a problem of vector support recovery using noisy linear measurements. We show how several looking very differently problem statements can be reduced to it, including coding for multiple access channels, group testing, multimedia fingerprinting codes and, probably the most interesting, compressed sensing.

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Publication Details

Published
2024-09-30
DOI
https://doi.org/10.1109/sibircon63777.2024.10758517
Primary Topic
Advanced Algorithms and Applications
Type
article
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article

Sparse vectors' support recovery and its applications

Aliya Janabekova
Advanced Algorithms and Applications
article

Sparse vectors' support recovery and its applications

Aliya Janabekova
article en

Abstract

We consider a problem of vector support recovery using noisy linear measurements. We show how several looking very differently problem statements can be reduced to it, including coding for multiple access channels, group testing, multimedia fingerprinting codes and, probably the most interesting, compressed sensing.

Moscow Institute of Physics and Technology (RU)
Openalex Percentile: Top 75%
Advanced Algorithms and Applications
DOISourceOpenAlex
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Sparse vectors' support recovery and its applications — Aliya Janabekova · (2024) | TGRS Research Map | TGRS