Symmetrizing the Kullback-Leibler Distance

Simple item page
dc.citation.bibtexNamearticleen_US
dc.citation.journalTitleIEEE Transactions on Information Theoryen_US
dc.contributor.authorJohnson, Donen_US
dc.contributor.authorSinanovic, Sinanen_US
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)en_US
dc.date.accessioned2007-10-31T00:47:39Z
dc.date.available2007-10-31T00:47:39Z
dc.date.issued2001-03-20en
dc.date.modified2002-03-22en_US
dc.date.submitted2002-03-22en_US
dc.descriptionJournal Paperen_US
dc.description.abstractWe 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.en_US
dc.description.sponsorshipNational Science Foundationen_US
dc.identifier.citationD. Johnson and S. Sinanovic, "Symmetrizing the Kullback-Leibler Distance," <i>IEEE Transactions on Information Theory,</i> 2001.
dc.identifier.urihttps://hdl.handle.net/1911/19969
dc.language.isoeng
dc.subjectKullback-Leibler distance*
dc.subjectJ-divergence*
dc.subjectAli-Silvey distance*
dc.subjectinformatin processing*
dc.subject.keywordKullback-Leibler distanceen_US
dc.subject.keywordJ-divergenceen_US
dc.subject.keywordAli-Silvey distanceen_US
dc.subject.keywordinformatin processingen_US
dc.subject.otherInformation Processingen_US
dc.titleSymmetrizing the Kullback-Leibler Distanceen_US
dc.typeJournal article
dc.type.dcmiText
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Joh2001Mar1Symmetrizi.PDF
Size:
443.34 KB
Format:
Adobe Portable Document Format
Download
Collections
ECE Publications
DSP Publications