PREFILTERING APPROACH FOR OPTIMAL POLYNOMIAL PREDICTION

Authors
LAAKSO TI OVASKA SJ
Citation
Ti. Laakso et Sj. Ovaska, PREFILTERING APPROACH FOR OPTIMAL POLYNOMIAL PREDICTION, IEEE transactions on signal processing, 44(3), 1996, pp. 701-705
Citations number
7
Categorie Soggetti
Engineering, Eletrical & Electronic
Journal title
IEEE transactions on signal processing → ACNP
ISSN journal
1053587X
Volume
44
Issue
3
Year of publication
1996
Pages
701 - 705
Database
ISI
SICI code
1053-587X(1996)44:3<701:PAFOPP>2.0.ZU;2-J
Abstract
A prefiltering approach for optimal prediction of polynomial signals i s proposed. The new scheme enables the use of an arbitrary stable pref ilter for which an optimal FIR postfilter is designed such that polyno mial signals of given order are predicted unchanged, Additional degree s of freedom are used for noise suppression, The advantages of the app roach are demonstrated with examples employing a first-order recursive prefilter.