Point values and normalization of two-direction multiwavelets and their derivatives
Fritz Keinert, Soon-Geol Kwon

TL;DR
This paper explores methods for determining point values and normalizing derivatives of two-direction multiscaling functions and multiwavelets, enhancing their application flexibility in signal processing.
Contribution
It introduces eigenvalue-based techniques for point value computation and normalization conditions for two-direction multiscaling functions and multiwavelets.
Findings
Eigenvalue approach effectively finds point values.
Normalization based on zeroth continuous moment.
Illustrative examples demonstrate the theory.
Abstract
Two-direction multiscaling functions and two-direction multiwavelets associated with are more general and more flexible setting than one-direction multiscaling functions and multiwavelets. In this paper, we investigate how to find and normalize point values and those of derivatives of the two-direction multiscaling functions and multiwavelets . %associated with . For finding point values, we investigate the eigenvalue approach. For normalization, we investigate the normalizing conditions for them by normalizing the zeroth continuous moment of . Examples for illustrating the general theory are given.
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Taxonomy
TopicsImage and Signal Denoising Methods · Mathematical Analysis and Transform Methods · Digital Filter Design and Implementation
