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dc.contributor.authorSinanovic, Sinan
Johnson, Don
dc.creatorSinanovic, Sinan
Johnson, Don 2007-10-31T01:06:16Z 2007-10-31T01:06:16Z 2002-05-20 2002-05-20
dc.description Conference paper
dc.description.abstract Information processing is performed when a system preserves aspects of the input related to what the input represents while it removes other aspects. To describe a system's information processing capability, input and output need to be compared in a way invariant to the way signals represent information. Kullback-Leibler distance, an information-theoretic measure which reflects the data processing theorem, is calculated on the input and output separately and compared to obtain information transfer ratio. We consider the special case where input serves several parallel systems and show that this configuration has the capability to represent the input information without loss. We also derive bounds for asymptotic rates at which the loss decreases as more parallel systems are added and show that the rate depends on the input distribution.
dc.description.sponsorship National Science Foundation
dc.description.sponsorship National Science Foundation
dc.description.sponsorship National Institute of Mental Health
dc.language.iso eng
dc.subjectinformation processing
parallel systems
dc.subject.otherInformation Processing
dc.title Asymptotic rates of the information transfer ratio
dc.type Conference paper 2002-03-21
dc.citation.bibtexName inproceedings 2002-03-21
dc.contributor.orgDigital Signal Processing (
dc.subject.keywordinformation processing
parallel systems
dc.citation.location Orlando, FL
dc.citation.conferenceName IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
dc.type.dcmi Text
dc.type.dcmi Text
dc.identifier.citation S. Sinanovic and D. Johnson, "Asymptotic rates of the information transfer ratio," 2002.

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  • DSP Publications [508]
    Publications by Rice Faculty and graduate students in digital signal processing.
  • ECE Publications [1426]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students

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