Cargando…
Block Compressive Sensing (BCS) Based Low Complexity, Energy Efficient Visual Sensor Platform with Joint Multi-Phase Decoder (JMD)
Devices in a visual sensor network (VSN) are mostly powered by batteries, and in such a network, energy consumption and bandwidth utilization are the most critical issues that need to be taken into consideration. The most suitable solution to such issues is to compress the captured visual data befor...
Autores principales: | Ebrahim, Mansoor, Chia, Wai Chong, Adil, Syed Hasan, Raza, Kamran |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6567018/ https://www.ncbi.nlm.nih.gov/pubmed/31109154 http://dx.doi.org/10.3390/s19102309 |
Ejemplares similares
-
BCS glossary of computing
por: Burdett, Arnold, et al.
Publicado: (2016) -
BCS: 50 years
por: Cooper, Leon N, et al.
Publicado: (2011) -
Block sparsity-based joint compressed sensing recovery of multi-channel ECG signals
por: Singh, Anurag, et al.
Publicado: (2017) -
An Enhanced Decoding Algorithm for Coded Compressed Sensing with Applications to Unsourced Random Access
por: Amalladinne, Vamsi K., et al.
Publicado: (2022) -
BCS Glossary of Computing and ICT
por: Panel, BCS Education and Training Expert, et al.
Publicado: (2008)