The Cauchy-Schwarz divergence for poisson point processes
| dc.contributor.author | Hoang, Hung Gia | |
| dc.contributor.author | Vo, Ba-Ngu | |
| dc.contributor.author | Vo, Ba Tuong | |
| dc.contributor.author | Mahler, R. | |
| dc.date.accessioned | 2017-01-30T11:43:35Z | |
| dc.date.available | 2017-01-30T11:43:35Z | |
| dc.date.created | 2015-10-29T04:09:47Z | |
| dc.date.issued | 2014 | |
| dc.identifier.citation | Hoang, 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.uri | http://hdl.handle.net/20.500.11937/14417 | |
| dc.identifier.doi | 10.1109/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.publisher | IEEE Computer Society | |
| dc.title | The Cauchy-Schwarz divergence for poisson point processes | |
| dc.type | Conference Paper | |
| dcterms.source.startPage | 240 | |
| dcterms.source.endPage | 243 | |
| dcterms.source.title | IEEE Workshop on Statistical Signal Processing Proceedings | |
| dcterms.source.series | IEEE Workshop on Statistical Signal Processing Proceedings | |
| dcterms.source.isbn | 9781479949755 | |
| curtin.department | Department of Electrical and Computer Engineering | |
| curtin.accessStatus | Fulltext not available |
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