Prefiltering approach for optimal polynomial prediction
TI Laakso, SJ Ovaska - IEEE transactions on signal processing, 2002 - ieeexplore.ieee.org
TI Laakso, SJ Ovaska
IEEE transactions on signal processing, 2002•ieeexplore.ieee.orgA prefiltering approach for optimal prediction of polynomial signals is proposed. The new
scheme enables the use of an arbitrary stable prefilter for which an optimal FIR postfilter is
designed such that polynomial signals of given order are predicted unchanged. Additional
degrees of freedom are used for noise suppression. The advantages of the approach are
demonstrated with examples employing a first-order recursive prefilter.
scheme enables the use of an arbitrary stable prefilter for which an optimal FIR postfilter is
designed such that polynomial signals of given order are predicted unchanged. Additional
degrees of freedom are used for noise suppression. The advantages of the approach are
demonstrated with examples employing a first-order recursive prefilter.
A prefiltering approach for optimal prediction of polynomial signals is proposed. The new scheme enables the use of an arbitrary stable prefilter for which an optimal FIR postfilter is designed such that polynomial signals of given order are predicted unchanged. Additional degrees of freedom are used for noise suppression. The advantages of the approach are demonstrated with examples employing a first-order recursive prefilter.
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