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JsrNet: A Joint Sampling–Reconstruction Framework for Distributed Compressive Video Sensing
Huge video data has posed great challenges on computing power and storage space, triggering the emergence of distributed compressive video sensing (DCVS). Hardware-friendly characteristics of this technique have consolidated its position as one of the most powerful architectures in source-limited sc...
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| Publicado en: | Sensors (Basel) |
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| Autores principales: | , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
MDPI
2019
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6983164/ https://ncbi.nlm.nih.gov/pubmed/31905916 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20010206 |
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