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dc.contributor.authorHoang, Hung Gia
dc.contributor.authorVo, Ba-Ngu
dc.contributor.authorVo, Ba Tuong
dc.contributor.authorMahler, R.
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.

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.titleIEEE Workshop on Statistical Signal Processing Proceedings
dcterms.source.seriesIEEE Workshop on Statistical Signal Processing Proceedings
curtin.departmentDepartment of Electrical and Computer Engineering
curtin.accessStatusFulltext not available

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