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    Optimizing binary decision systems by manipulating transmission intervals

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    Author
    Lexa, Michael; Johnson, Don
    Date
    2003-02-16
    Abstract
    We study the optimization of a binary decision system where quantized (soft) decisions are transmitted across an additive white Gaussian noise channel. We adjust the bit transmission intervals to maximize the Chernoff distance at the output of the channel. At low channel signal-to-noise ratios (when the probability of a bit error is higher), we find unequal transmission intervals yield significant gains in terms of Chernoff distance and the information transfer ratio over the equal transmission case. This paper is a companion paper to Johnson and Rodriguez-Diaz (2003) wherein the gains of unequal bit transmissions are studied in terms of minimum squared error.
    Description
    Conference Paper
    Citation
    M. Lexa and D. Johnson, "Optimizing binary decision systems by manipulating transmission intervals," 2003.
    Published Version
    http://dx.doi.org/10.1109/ISSPA.2003.1224883
    Keyword
    digital communication; power allocation; information processing; Information Processing; digital communication; More... power allocation; information processing Less...
    Type
    Conference paper
    Citable link to this page
    https://hdl.handle.net/1911/20059
    Metadata
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    • DSP Publications [508]
    • ECE Publications [1494]

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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