A new result on recovery sparse signals using orthogonal matching pursuit
Orthogonal matching pursuit (OMP) algorithm is a classical greedy algorithm widely used in compressed sensing. In this paper, by exploiting the Wielandt inequality and some properties of orthogonal projection matrix, we obtained a new number of iterations required for the OMP algorithm to perform ex...
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| Auteurs principaux: | , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Taylor & Francis Group
2022-08-01
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| Collection: | Statistical Theory and Related Fields |
| Sujets: | |
| Accès en ligne: | http://dx.doi.org/10.1080/24754269.2022.2048445 |
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