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- W2128281625 abstract "A unified approach for constructing a large class of multiwavelets is presented. This class includes Geronimo–Hardin–Massopust, Alpert, finite element and Daubechies-like multiwavelets. The approach is based on the characterisation of approximation order of r multiscaling functions using a known compactly supported refinable super-function. The characterisation is formulated as a generalised eigenvalue equation. The generalised left eigenvectors of the finite down-sampled convolution matrix Lf give the coefficients in the finite linear combination of multiscaling functions that produce the desired super-function. The unified approach based on the super-function theory can be used to construct new multiwavelets with short support, high approximation order and symmetry." @default.
- W2128281625 created "2016-06-24" @default.
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- W2128281625 date "2003-01-01" @default.
- W2128281625 modified "2023-09-26" @default.
- W2128281625 title "Unified approach for constructing multiwavelets with approximation order using refinable super-functions" @default.
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- W2128281625 doi "https://doi.org/10.1049/ip-vis:20030497" @default.
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