Multiwavelets with Extra Approximation Properties
Abstract
Because multiwavelet bases normally lack important properties traditional wavelet bases (of equal approximation order) possess, the discrete multiwavelet transform is less useful for signal processing, unless preceded by a preprocessing step. This paper examines properties of orthogonal multiwavelet bases, with approximation order >1, that possess those properties normally absent. For these ``balanced'' bases (after Lebrun and Vetterli) prefiltering can be avoided. Using results regarding Mband wavelet bases, it has been found that balanced multiwavelet bases can be characterized in terms of the divisibility of certain transfer functions by powers of (z^{2r}1)/(z^{1}1). The paper also presents a balanced version of the DGHM basis  the scaling functions are simultaneously symmetric, orthogonal and of compact support.
 Multiwavelets with Extra Approximation Properties
IEEE Trans. on Signal Processing,
46(11):28982909, November 1998.

Multiwavelets with Extra Approximation Properties,
Proceedings of the Eighth IEEE DSP Workshop,
Utah, August 912, 1998.
 It is also possible to design balanced orthogonal multiwavelets based on symmetric FIR filters.
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