期刊名称:The International Journal of Multimedia & Its Applications (IJMA)
印刷版ISSN:0975-5934
电子版ISSN:0975-5578
出版年度:2017
卷号:9
期号:4/5/6
页码:121
出版社:Academy & Industry Research Collaboration Center (AIRCC)
摘要:In context aware wireless multimedia sensor networks, scenarios are usually such thatsignals of multiple distributed sensors contain a common sparse component and each individualsignal owns an innovation sparse component. So distributed compressive sensing based on jointsparsity of a signal ensemble concept exploits both these intra- and inter- signal correlation structuresand compress signals to the extent possible. This paper proposes an optimized reconstructionscheme based on joint sparsity model which is derived from the distributed compressive sensing. Inthis regard, based on distributed compressive sensing, a joint reconstruction scheme is proposed tocompress and reconstruct ensemble of signals even in large scale data transmission. Furthermore,simulation results show the effectiveness of the proposed method in diverse compression ratios andprocessing times in comparison with the joint sparsity model and individual compressive sensingreconstruction methods.