An Information processing approach to distributed detection

Simple item page
dc.citation.bibtexNameinproceedingsen_US
dc.citation.conferenceNameStatistical Signal Processing Workshopen_US
dc.contributor.authorLexa, Michaelen_US
dc.contributor.authorJohnson, Donen_US
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)en_US
dc.date.accessioned2007-10-31T00:51:38Z
dc.date.available2007-10-31T00:51:38Z
dc.date.issued2003-09-20en
dc.date.modified2003-09-02en_US
dc.date.note2003-08-21en_US
dc.date.submitted2003-09-20en_US
dc.descriptionConference Paperen_US
dc.description.abstractWe 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.en_US
dc.description.sponsorshipNational Science Foundationen_US
dc.identifier.citationM. Lexa and D. Johnson, "An Information processing approach to distributed detection," 2003.
dc.identifier.urihttps://hdl.handle.net/1911/20060
dc.language.isoeng
dc.subjectdistributed detection*
dc.subjectinformation processing*
dc.subject.keyworddistributed detectionen_US
dc.subject.keywordinformation processingen_US
dc.subject.otherInformation Processingen_US
dc.titleAn Information processing approach to distributed detectionen_US
dc.typeConference paper
dc.type.dcmiText
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Lex2003Sep5AnInfroma.PDF
Size:
348.33 KB
Format:
Adobe Portable Document Format
Download
Collections
ECE Publications
DSP Publications