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Low-Cost Image Compressive Sensing with Multiple Measurement Rates for Object Detection

When measurement rates grow, most Compressive Sensing (CS) methods suffer from an increase in overheads of transmission and storage of CS measurements, while reconstruction quality degrades appreciably when measurement rates reduce. To solve these problems in real scenarios such as large-scale distr...

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Bibliografische gegevens
Gepubliceerd in:Sensors (Basel)
Hoofdauteurs: Liao, Longlong, Li, Kenli, Yang, Canqun, Liu, Jie
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: MDPI 2019
Onderwerpen:
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6539613/
https://ncbi.nlm.nih.gov/pubmed/31060279
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19092079
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