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dc.contributor.authorRibeiro, Vinay Joseph
Riedi, Rudolf H.
Baraniuk, Richard G.
dc.creatorRibeiro, Vinay Joseph
Riedi, Rudolf H.
Baraniuk, Richard G.
dc.date.accessioned 2007-10-31T01:00:32Z
dc.date.available 2007-10-31T01:00:32Z
dc.date.issued 2003-10-01
dc.date.submitted 2003-10-01
dc.identifier.citation V. J. Ribeiro, R. H. Riedi and R. G. Baraniuk, "Optimal Sampling Strategies for Multiscale Models with Application to Network Traffic Estimation," 2003.
dc.identifier.urihttps://hdl.handle.net/1911/20253
dc.description Conference Paper
dc.description.abstract This paper considers the problem of determining which set of 2p leaf nodes on a binary multiscale tree model of depth N (N>p) gives the best linear minimum mean-squared estimator of the tree root. We find that the best-case and worst-case sampling choices depend on the correlation structure of the tree. This problem arises in Internet traffic estimation, where the goal is to estimate the average traffic rate on a network path based on a limited number of traffic samples.
dc.language.iso eng
dc.subjecttree multiscale optimal sampling networks traffic estimation
dc.subject.otherSignal Processing for Networking
dc.title Optimal Sampling Strategies for Multiscale Models with Application to Network Traffic Estimation
dc.type Conference paper
dc.date.note 2004-02-25
dc.citation.bibtexName inproceedings
dc.date.modified 2006-06-21
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)
dc.subject.keywordtree multiscale optimal sampling networks traffic estimation
dc.citation.location St. Louis, MO
dc.relation.projecthttp://spin.rice.edu
dc.relation.softwarehttp://spin.rice.edu/Software
dc.citation.conferenceName IEEE Workshop on Statistical Signal Processing (SSP)
dc.type.dcmi Text
dc.type.dcmi Text
dc.identifier.doihttp://dx.doi.org/10.1109/SSP.2003.1289360


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  • DSP Publications [508]
    Publications by Rice Faculty and graduate students in digital signal processing.
  • ECE Publications [1391]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students

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