Cargando…
The Noise Collector for sparse recovery in high dimensions
The ability to detect sparse signals from noisy, high-dimensional data is a top priority in modern science and engineering. It is well known that a sparse solution of the linear system [Formula: see text] can be found efficiently with an [Formula: see text]-norm minimization approach if the data are...
Autores principales: | Moscoso, Miguel, Novikov, Alexei, Papanicolaou, George, Tsogka, Chrysoula |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7260980/ https://www.ncbi.nlm.nih.gov/pubmed/32393628 http://dx.doi.org/10.1073/pnas.1913995117 |
Ejemplares similares
-
Sparse Grid Quadrature in High Dimensions with Applications in Finance and Insurance
por: Holtz, Markus
Publicado: (2011) -
Sparse clusterability: testing for cluster structure in high dimensions
por: Laborde, Jose, et al.
Publicado: (2023) -
RF Recovery Using CARA and Depressed Collector
por: Lapointe, M A, et al.
Publicado: (2001) -
Thermomechanical Assessment of the Collector for the Hollow Electron Lens
por: Anderson, George Bowers
Publicado: (2017) -
Sparse time-frequency representations
por: Gardner, Timothy J., et al.
Publicado: (2006)