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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2015
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| 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 |