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dc.contributor.authorWakin, Michael
Duarte, Marco F.
Baraniuk, Richard G.
Baron, Dror
dc.creatorDuarte, Marco F.
Wakin, Michael B.
Baron, Dror
Baraniuk, Richard G.
dc.date.accessioned 2007-10-31T00:43:08Z
dc.date.available 2007-10-31T00:43:08Z
dc.date.issued 2006-04-01
dc.date.submitted 2006-04-01
dc.identifier.citation M. Wakin, M. F. Duarte, R. G. Baraniuk and D. Baron, "Universal Distributed Sensing via Random Projections," 2006.
dc.identifier.urihttps://hdl.handle.net/1911/19866
dc.description Conference Paper
dc.description.abstract This paper develops a new framework for distributed coding and compression in sensor networks based on distributed compressed sensing (DCS). DCS exploits both intra-signal and inter-signal correlations through the concept of joint sparsity; just a few measurements of a jointly sparse signal ensemble contain enough information for reconstruction. DCS is well-suited for sensor network applications, thanks to its simplicity, universality, computational asymmetry, tolerance to quantization and noise, robustness to measurement loss, and scalability. It also requires absolutely no inter- sensor collaboration. We apply our framework to several real world datasets to validate the framework.
dc.language.iso eng
dc.subjectlinear programming
compressed sensing
Sparsity
greedy algorithms
sensor networks
correlation
dc.subject.otherDSP for Communications
dc.title Universal Distributed Sensing via Random Projections
dc.type Conference paper
dc.date.note 2006-07-17
dc.citation.bibtexName inproceedings
dc.date.modified 2006-07-17
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)
dc.subject.keywordlinear programming
compressed sensing
Sparsity
greedy algorithms
sensor networks
correlation
dc.citation.location Nashville, Tennessee
dc.citation.conferenceName International Symposium on Integrated Processing in Sensor Networks
dc.type.dcmi Text
dc.type.dcmi Text
dc.identifier.doihttp://dx.doi.org/10.1145/1127777.1127807
dc.citation.firstpage 177
dc.citation.lastpage 185


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  • DSP Publications [508]
    Publications by Rice Faculty and graduate students in digital signal processing.
  • ECE Publications [1341]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students

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