Efficient frequency domain univariate Parzen approximation and applications

Simple item page
dc.contributor.authorEsterhuizen G.
dc.contributor.authorDu Preez J.A.
dc.date.accessioned2011-05-15T15:53:38Z
dc.date.available2011-05-15T15:53:38Z
dc.date.issued2002
dc.description.abstractThis paper introduces a frequency domain approximation to the univariate Parzen probability density function estimator. It is applied to construct an efficient semi-parametric density function estimator and density function distance measure that operates directly from sample data. The complexity of the techniques are constant with respect to the number of data samples and only depends on a pre-determined factor controlling the accuracy.
dc.description.versionConference Paper
dc.identifier.citationIEEE AFRICON Conference
dc.identifier.citation1
dc.identifier.urihttp://hdl.handle.net/10019.1/8719
dc.titleEfficient frequency domain univariate Parzen approximation and applications
dc.typeConference Paper
Files
Collections
Stellenbosch University - Scopus Publications