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Sparsity estimation from compressive projections via sparse random matrices

The aim of this paper is to develop strategies to estimate the sparsity degree of a signal from compressive projections, without the burden of recovery. We consider both the noise-free and the noisy settings, and we show how to extend the proposed framework to the case of non-exactly sparse signals....

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Detalles Bibliográficos
Autores principales: Ravazzi, Chiara, Fosson, Sophie, Bianchi, Tiziano, Magli, Enrico
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6414084/
https://www.ncbi.nlm.nih.gov/pubmed/30956656
http://dx.doi.org/10.1186/s13634-018-0578-0