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dc.contributor.authorJohnson, Don
Sinanovic, Sinan
dc.creatorJohnson, Don
Sinanovic, Sinan 2007-10-31T00:47:39Z 2007-10-31T00:47:39Z 2001-03-20 2002-03-22
dc.description Journal Paper
dc.description.abstract We define a new distance measure - the resistor-average distance - between two probability distributions that is closely related to the Kullback-Leibler distance. While the Kullback-Leibler distance is asymmetric in the two distributions, the resistor-average distance is not. It arises from geometric considerations similar to those used to derive the Chernoff distance. Determining its relation to well-known distance measures reveals a newway to depict how commonly used distance measures relate to each other.
dc.description.sponsorship National Science Foundation
dc.language.iso eng
dc.subjectKullback-Leibler distance
Ali-Silvey distance
informatin processing
dc.subject.otherInformation Processing
dc.title Symmetrizing the Kullback-Leibler Distance
dc.type Journal article
dc.citation.bibtexName article
dc.citation.journalTitle IEEE Transactions on Information Theory 2002-03-22
dc.contributor.orgDigital Signal Processing (
dc.subject.keywordKullback-Leibler distance
Ali-Silvey distance
informatin processing
dc.type.dcmi Text
dc.type.dcmi Text
dc.identifier.citation D. Johnson and S. Sinanovic, "Symmetrizing the Kullback-Leibler Distance," IEEE Transactions on Information Theory, 2001.

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  • ECE Publications [1089]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
  • DSP Publications [508]
    Publications by Rice Faculty and graduate students in digital signal processing.

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