中山大学学报（自然科学版）2017，Vol.56Issue(1)：36-40,5.DOI:10.13471/j.cnki.acta.snus.2017.01.006
一种视频分布式压缩感知技术的相关性模型与实现算法
Video distributed compressive sensing research based on correlation model
摘要
Abstract
Video sampling and reconstruction need to process a huge amount of data.In order to solve the problem,a novel video distributed compressive sensing based-BP (VDCS-BP)is proposed in the pa-per.Based on correlation model established by sparse filter,VDCS-BP can achieve distributed video sensing at encoder-decoder,and reduce numbers of measurement by DCS.Experimental results show that the VDCS-BP is effective.关键词
分布式压缩感知/视频/相关性/重构Key words
distributed compressive sensing/video/correlation/recovery分类
计算机与自动化引用本文复制引用
赵慧民,裴真真,才争野,戴青云,魏文国,王晨..一种视频分布式压缩感知技术的相关性模型与实现算法[J].中山大学学报（自然科学版）,2017,56(1):36-40,5.基金项目
国家自然科学基金（61672008）；广东省自然科学基金（2016A030311013，2015A030313672）；广东省应用型科技研发专项项目（2016B010127006，2015B010131017）；广东省教育厅国际科技合作项目（2015KGJHZ021）；广东省科技计划项目 （）
