Compressed Sensing Based Data Acquisition Method in Sparse Signal

被引：0
|
作者：
Liu, Chang-Qing [1 ]
Guo, Jie-Rong [1 ]
Wang, Sheng-Hui [1 ]
机构：
[1] Hunan Univ Arts & Sci, Coll Phys & Elect Sci, Changde 415000, Peoples R China
来源：
INTERNATIONAL CONFERENCE ON CONTROL ENGINEERING AND AUTOMATION (ICCEA 2014) | 2014年
关键词：
Compressed Sensing; Internet of Things; Wireless Sensor Networks Data Acquisition; Sparse Signal;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we briefly introduce the compressed sensing (CS) theory in aspects of the sampling and transmission coordination during the network lifetime through providing simple coding process with low computation costs. Next, a compressed sensing-based framework is proposed for networks, in which the nodes measure, transmit, and store the sampled data in the compressed sensing framework. Then, a cluster-sparse reconstruction algorithm is proposed for in-network compression aiming at more accurate data reconstruction.
引用
收藏
页码：858 / 864
页数：7
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