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- W2024596917 abstract "In this paper, Spatial Correlation-based Distributed Compressed Sensing (SCDCS) model and algorithm are presented in Wireless Sensor Networks (WSN), where spatial correlation and joint sparse models between the sensor nodes can be exploited in order to compress and reconstruct sensor observations in an energy efficient manner based on coding/decoding algorithm of SCDCS. Finally, the analysis of relationship between reconstruction error and compression ratio in SCDCS is carried out in simulation. Simulation results show that SCDCS can achieve acceptable estimation accuracy in an energy efficient way." @default.
- W2024596917 created "2016-06-24" @default.
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- W2024596917 date "2010-09-01" @default.
- W2024596917 modified "2023-10-18" @default.
- W2024596917 title "Spatial Correlation-Based Distributed Compressed Sensing in Wireless Sensor Networks" @default.
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- W2024596917 doi "https://doi.org/10.1109/wicom.2010.5601158" @default.
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