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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...

पूर्ण विवरण

में बचाया:
ग्रंथसूची विवरण
में प्रकाशित:Sensors (Basel)
मुख्य लेखकों: Brunelli, Davide, Caione, Carlo
स्वरूप: Artigo
भाषा:Inglês
प्रकाशित: MDPI 2015
विषय:
ऑनलाइन पहुंच:https://ncbi.nlm.nih.gov/pmc/articles/PMC4541899/
https://ncbi.nlm.nih.gov/pubmed/26184203
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s150716654
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