Cargando…
Deterministic Sensing Matrices in Compressive Sensing: A Survey
Compressive sensing is a sampling method which provides a new approach to efficient signal compression and recovery by exploiting the fact that a sparse signal can be suitably reconstructed from very few measurements. One of the most concerns in compressive sensing is the construction of the sensing...
Autores principales: | Nguyen, Thu L. N., Shin, Yoan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3836388/ https://www.ncbi.nlm.nih.gov/pubmed/24348141 http://dx.doi.org/10.1155/2013/192795 |
Ejemplares similares
-
Computable performance guarantees for compressed sensing matrices
por: Cho, Myung, et al.
Publicado: (2018) -
Compressed
Sensing for the Fast Computation of Matrices:
Application to Molecular Vibrations
por: Sanders, Jacob N., et al.
Publicado: (2015) -
Application of 1-D discrete wavelet transform based compressed sensing matrices for speech compression
por: Parkale, Yuvraj V., et al.
Publicado: (2016) -
Optimal compressed sensing reconstructions of fMRI using 2D deterministic and stochastic sampling geometries
por: Jeromin, Oliver, et al.
Publicado: (2012) -
Deterministic clustering based compressive sensing scheme for fog-supported heterogeneous wireless sensor networks
por: Osamy, Walid, et al.
Publicado: (2021)