Coloring Non-Gaussian Sequences

dc.creatorSantos, JCS
dc.creatorYacoub, MD
dc.date2008
dc.dateDEC
dc.date2014-11-15T12:01:37Z
dc.date2015-11-26T17:19:49Z
dc.date2014-11-15T12:01:37Z
dc.date2015-11-26T17:19:49Z
dc.date.accessioned2018-03-29T00:07:28Z
dc.date.available2018-03-29T00:07:28Z
dc.identifierIeee Transactions On Signal Processing. Ieee-inst Electrical Electronics Engineers Inc, v. 56, n. 12, n. 5817, n. 5822, 2008.
dc.identifier1053-587X
dc.identifierWOS:000261310900007
dc.identifier10.1109/TSP.2008.2005751
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/78983
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/78983
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/78983
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1282989
dc.descriptionWe propose a novel method for generating random sequences matching both a target non-Gaussian distribution and a target autocorrelation. In the proposed scheme, samples matching the target distribution are drawn independently and then suitably rearranged to match the target autocorrelation. Our method overcomes the difficulties of the standard method in generating sequences with unknown inverse distribution. Many examples are included.
dc.description56
dc.description12
dc.description5817
dc.description5822
dc.languageen
dc.publisherIeee-inst Electrical Electronics Engineers Inc
dc.publisherPiscataway
dc.publisherEUA
dc.relationIeee Transactions On Signal Processing
dc.relationIEEE Trans. Signal Process.
dc.rightsfechado
dc.rightshttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
dc.sourceWeb of Science
dc.subjectAutocorrelation
dc.subjectnon-Gaussian processes
dc.subjectorder statistics
dc.subjectrank statistics
dc.subjectsimulation
dc.subjectGeneration
dc.subjectSimulation
dc.subjectFields
dc.titleColoring Non-Gaussian Sequences
dc.typeArtículos de revistas


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