Sparse Recovery Optimization in Wireless Sensor Networks with a Sub-Nyquist Sampling Rate

Compressive sensing (CS) is a new technology in digital signal processing capable of high-resolution capture of physical signals from few measurements, which promises impressive improvements in the field of wireless sensor networks (WSNs). In this work, we extensively investigate the effectiveness o...

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Detalles Bibliográficos
Autores principales: Brunelli, Davide, Caione, Carlo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4541899/
https://www.ncbi.nlm.nih.gov/pubmed/26184203
http://dx.doi.org/10.3390/s150716654

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4541899/
https://www.ncbi.nlm.nih.gov/pubmed/26184203
http://dx.doi.org/10.3390/s150716654

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