On predictors for band-limited and high-frequency time series
dc.contributor.author | Dokuchaev, Nikolai | |
dc.date.accessioned | 2017-01-30T13:36:46Z | |
dc.date.available | 2017-01-30T13:36:46Z | |
dc.date.created | 2012-12-03T07:24:56Z | |
dc.date.issued | 2012 | |
dc.identifier.citation | Dokuchaev, Nikolai. 2012. On predictors for band-limited and high-frequency time series. Signal Processing. 92 (10): pp. 2571-2575. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/33373 | |
dc.identifier.doi | 10.1016/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.publisher | Elsevier BV | |
dc.subject | non-parametric forecast | |
dc.subject | z-transform | |
dc.subject | band-limited processes | |
dc.subject | spectral methods | |
dc.subject | prediction | |
dc.subject | low-pass filters | |
dc.title | On predictors for band-limited and high-frequency time series | |
dc.type | Journal Article | |
dcterms.source.volume | 92 | |
dcterms.source.number | 10 | |
dcterms.source.startPage | 2571 | |
dcterms.source.endPage | 2575 | |
dcterms.source.issn | 01651684 | |
dcterms.source.title | Signal Processing | |
curtin.department | ||
curtin.accessStatus | Open access |