{"title":"高维信号的空间分布采样与重构","authors":"Cheng Cheng, Yingchun Jiang, Qiyu Sun","doi":"10.1109/SAMPTA.2015.7148932","DOIUrl":null,"url":null,"abstract":"A spatially distributed system for signal sampling and reconstruction consists of huge amounts of small sensing devices with limited computing and telecommunication capabilities. In this paper, we discuss stability of such a sampling/reconstruction system and develop a distributed algorithm for fast reconstruction of high-dimensional signals.","PeriodicalId":311830,"journal":{"name":"2015 International Conference on Sampling Theory and Applications (SampTA)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Spatially distributed sampling and reconstruction of high-dimensional signals\",\"authors\":\"Cheng Cheng, Yingchun Jiang, Qiyu Sun\",\"doi\":\"10.1109/SAMPTA.2015.7148932\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A spatially distributed system for signal sampling and reconstruction consists of huge amounts of small sensing devices with limited computing and telecommunication capabilities. In this paper, we discuss stability of such a sampling/reconstruction system and develop a distributed algorithm for fast reconstruction of high-dimensional signals.\",\"PeriodicalId\":311830,\"journal\":{\"name\":\"2015 International Conference on Sampling Theory and Applications (SampTA)\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-05-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Sampling Theory and Applications (SampTA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SAMPTA.2015.7148932\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Sampling Theory and Applications (SampTA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAMPTA.2015.7148932","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Spatially distributed sampling and reconstruction of high-dimensional signals
A spatially distributed system for signal sampling and reconstruction consists of huge amounts of small sensing devices with limited computing and telecommunication capabilities. In this paper, we discuss stability of such a sampling/reconstruction system and develop a distributed algorithm for fast reconstruction of high-dimensional signals.