文献类型： 外文期刊
第一作者： Xiao, Shuo
作者： Xiao, Shuo;Li, Tianxu;Yan, Yan;Zhuang, Jiayu
作者机构：
关键词： Internet of things; Wireless sensor networks; Compressed sensing
期刊名称：CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS （ 影响因子：1.809； 五年影响因子：1.906 ）
ISSN： 1386-7857
年卷期： 2019 年 22 卷
页码：
收录情况： SCI
摘要： Based on the analysis of the traditional compressed sensing method, the problem of multi signal processing in the Internet of things is discussed in detail. A class of distributed compressive sensing methods based on time correlation is proposed. By means of time correlation, a linear regression method is used to segment the experimental signals. On this basis, the joint sparse model of distributed compressed sensing is improved, and a compression matrix is designed to extract the linear fitting part of the signal. Then, the adaptive compressed sensing is used to compress the signal processed by the compressed matrix, thus forming a complete new scheme of compressed sensing signal processing.
分类号：
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