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    Asymptotic rates of the information transfer ratio

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    Author
    Sinanovic, Sinan; Johnson, Don
    Date
    2002-03-21
    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.
    Description
    Conference paper
    Citation
    S. Sinanovic and D. Johnson, "Asymptotic rates of the information transfer ratio," 2002.
    Keyword
    information processing; parallel systems; Information Processing; information processing; parallel systems
    Type
    Conference paper
    Citable link to this page
    https://hdl.handle.net/1911/20377
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    • DSP Publications [508]
    • ECE Publications [1468]

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    Managed by the Digital Scholarship Services at Fondren Library, Rice University
    Physical Address: 6100 Main Street, Houston, Texas 77005
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    Site Map