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dc.contributor.authorLexa, Michael
Johnson, Don
dc.creatorLexa, Michael
Johnson, Don
dc.date.accessioned 2007-10-31T00:51:38Z
dc.date.available 2007-10-31T00:51:38Z
dc.date.issued 2003-09-20
dc.date.submitted 2003-09-20
dc.identifier.urihttps://hdl.handle.net/1911/20060
dc.description Conference Paper
dc.description.abstract We apply the recent theory of information processing to a hybrid distributed detection architecture that combines the traditional parallel and tandem architectures. Central to this theory is the Kullback-Leibler discrimination distance and quantity known as the information transfer ratio, defined as defined as the ratio of the KL distances between the distributions characterizing the input and output of a system. We characterize the asymptotic performance of proposed hybrid system and compare it with the performance of the parallel, tandem and centralized architectures. We conclude with an illustrative example.
dc.description.sponsorship National Science Foundation
dc.language.iso eng
dc.subjectdistributed detection
information processing
dc.subject.otherInformation Processing
dc.title An Information processing approach to distributed detection
dc.type Conference paper
dc.date.note 2003-08-21
dc.citation.bibtexName inproceedings
dc.date.modified 2003-09-02
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)
dc.subject.keyworddistributed detection
information processing
dc.citation.conferenceName Statistical Signal Processing Workshop
dc.type.dcmi Text
dc.type.dcmi Text
dc.identifier.citation M. Lexa and D. Johnson, "An Information processing approach to distributed detection," 2003.


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  • DSP Publications [508]
    Publications by Rice Faculty and graduate students in digital signal processing.
  • ECE Publications [1289]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students

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