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dc.contributor.authorDokuchaev, Nikolai
dc.date.accessioned2017-01-30T13:36:46Z
dc.date.available2017-01-30T13:36:46Z
dc.date.created2012-12-03T07:24:56Z
dc.date.issued2012
dc.identifier.citationDokuchaev, Nikolai. 2012. On predictors for band-limited and high-frequency time series. Signal Processing. 92 (10): pp. 2571-2575.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/33373
dc.identifier.doi10.1016/j.sigpro.2012.04.006
dc.description.abstract

Pathwise predictability and predictors for discrete time processes are studied in deterministic setting. It is suggested to approximate convolution sums over future times by convolution sums over past time. It is shown that all band-limited processes are predictable in this sense, as well as high-frequency processes with zero energy at low frequencies. In addition, a process of mixed type still can be predicted if an ideal low-pass filter exists for this process.

dc.publisherElsevier BV
dc.subjectnon-parametric forecast
dc.subjectz-transform
dc.subjectband-limited processes
dc.subjectspectral methods
dc.subjectprediction
dc.subjectlow-pass filters
dc.titleOn predictors for band-limited and high-frequency time series
dc.typeJournal Article
dcterms.source.volume92
dcterms.source.number10
dcterms.source.startPage2571
dcterms.source.endPage2575
dcterms.source.issn01651684
dcterms.source.titleSignal Processing
curtin.department
curtin.accessStatusOpen access


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