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dc.contributor.authorRozell, Chris
Johnson, Don
dc.creatorRozell, Chris
Johnson, Don 2007-10-31T01:03:17Z 2007-10-31T01:03:17Z 2005-03-01 2005-03-01
dc.description Conference paper
dc.description.abstract We considered signal reconstruction with redundant expansions under distributed processing in noisy environments. Redundant expansions have the ability to reduce noise corrupting the coefficients, but distributed processing schemes will not be able to take full advantage of the redundancy present. We apply frame theory and a generalization called â frames of subspacesâ to find conditions when distributed reconstruction suffers no loss in noise reduction ability, and we bound performance loss in more general cases.
dc.description.sponsorship Texas Instruments
dc.description.sponsorship National Science Foundation
dc.language.iso eng
dc.subjectframe theory
distributed processing
dc.subject.otherGeneral DSP
dc.title Analysis of noise reduction in redundant expansions under distributed processing requirements
dc.type Conference paper 2004-09-20
dc.citation.bibtexName inproceedings 2005-07-06
dc.contributor.orgDigital Signal Processing (
dc.subject.keywordframe theory
distributed processing
dc.citation.location Philadelphia, PA
dc.citation.conferenceName IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
dc.type.dcmi Text
dc.type.dcmi Text
dc.identifier.doi 10.1109/ICASSP.2005.1415976
dc.identifier.citation C. Rozell and D. Johnson, "Analysis of noise reduction in redundant expansions under distributed processing requirements," 2005.

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  • ECE Publications [1089]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
  • DSP Publications [508]
    Publications by Rice Faculty and graduate students in digital signal processing.

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