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dc.contributor.authorLexa, Michael
Johnson, Don
dc.creatorLexa, Michael
Johnson, Don
dc.date.accessioned 2007-10-31T00:51:36Z
dc.date.available 2007-10-31T00:51:36Z
dc.date.issued 2003-07-20
dc.date.submitted 2003-07-20
dc.identifier.citation M. Lexa and D. Johnson, "Optimizing binary decision systems by manipulating transmission intervals," 2003.
dc.identifier.urihttps://hdl.handle.net/1911/20059
dc.description Conference Paper
dc.description.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.
dc.description.sponsorship National Science Foundation
dc.language.iso eng
dc.subjectdigital communication
power allocation
information processing
dc.subject.otherInformation Processing
dc.title Optimizing binary decision systems by manipulating transmission intervals
dc.type Conference paper
dc.date.note 2003-02-16
dc.citation.bibtexName inproceedings
dc.date.modified 2003-02-16
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)
dc.subject.keyworddigital communication
power allocation
information processing
dc.citation.conferenceName International Symposium on Signal Processing and its Application (ISSPA)
dc.type.dcmi Text
dc.type.dcmi Text
dc.identifier.doihttp://dx.doi.org/10.1109/ISSPA.2003.1224883


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  • DSP Publications [508]
    Publications by Rice Faculty and graduate students in digital signal processing.
  • ECE Publications [1397]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students

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