Show simple item record

dc.contributor.authorHoang, Hung Gia
dc.contributor.authorVo, Ba-Ngu
dc.contributor.authorVo, Ba Tuong
dc.contributor.authorMahler, R.
dc.date.accessioned2017-01-30T11:43:35Z
dc.date.available2017-01-30T11:43:35Z
dc.date.created2015-10-29T04:09:47Z
dc.date.issued2014
dc.identifier.citationHoang, H.G. and Vo, B. and Vo, B.T. and Mahler, R. 2014. The Cauchy-Schwarz divergence for poisson point processes, pp. 240-243: IEEE Computer Society.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/14417
dc.identifier.doi10.1109/SSP.2014.6884620
dc.description.abstract

Information theoretic divergences are fundamental tools used to measure the difference between the information conveyed by two random processes. In this paper, we show that the Cauchy-Schwarz divergence between two Poisson point processes is the half the squared L2-distance between their respective intensity functions. Moreover, this can be evaluated in closed form when the intensities are Gaussian mixtures. © 2014 IEEE.

dc.publisherIEEE Computer Society
dc.titleThe Cauchy-Schwarz divergence for poisson point processes
dc.typeConference Paper
dcterms.source.startPage240
dcterms.source.endPage243
dcterms.source.titleIEEE Workshop on Statistical Signal Processing Proceedings
dcterms.source.seriesIEEE Workshop on Statistical Signal Processing Proceedings
dcterms.source.isbn9781479949755
curtin.departmentDepartment of Electrical and Computer Engineering
curtin.accessStatusFulltext not available


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record