Abstract.
This article is written to faculty.
We hope it will be helpful to colleagues who are preparing wavelets
or Fourier analysis or DSP related applied math courses for undergraduate
students.
With Chien-Chang Yen. Technical Report 9704, Department of Mathematics,
National Central University, Taiwan. Sep 13, 1997.
Abstract.
We review the procedure for the computation of the filter coefficients
for the Daubechies' orthonormal scaling functions.
It is well known that there are exact solutions for these coefficients
of length 2, 4, and 6.
Now we can construct the exact solutions for those of length 8 and 10.
With Chien-Chang Yen. Technical Report 9703, Department of Mathematics,
National Central University, Taiwan. May 12, 1997.
Abstract.
There is a set of equivalence conditions for the orthonormality of the
scaling functions. Among them, there is the Cohen's cycle condition.
We will give more criteria for this condition: If the corresponding
filter characteristic function has no zeros in certain closed
intervals, then there are finitely many points to be checked for the
validity of Cohen's cycle condition. However, these closed intervals
cannot be made arbitrarily small.
Abstract.
We will demonstrate a scheme that can elevate orthonormal or
biorthogonal wavelets to a new system of biorthogonal wavelet. The
approximation degree, that is, the number of vanishing moments, of the
elevated biorthogonal wavelet will be higher than the original one.
Starting with B-splines and cooperating with the lifting
scheme (Sweldens), our elevation scheme can reproduce the
biorthogonal wavelets of compact support (Cohen, Daubechies,
Feauveau). There is a simple algorithm to elevate from the old filter
coefficients to the new filter coefficients. Starting with orthonormal
wavelets, the elevated scaling functions are differentiable and the
derivatives are nearly orthonormal to their translations. That is, the
inner products of the translated derivatives always have the values
{-1, 2, -1}. This feature resembles the difference wavelet
(Chern, Shann) which may be valuable for solving differential
equations.
With Chien-Chang Yen. Technical Report 94016, Department of Mathematics,
National Central University, Taiwan.
Abstract.
In this article we will review several numerical quadrature rules,
their theoretical background and implementations, that are needed in a
discretization of Galerkin type for differential euqations, using wavelets
as basis functions.
Material given here will be a summary of results of the recent three
years by several groups of researchers in this field, including the author
himself.
With Chien-Chang Yen. Technical Report 9301, Department of Mathematics,
National Central University, Taiwan.
Abstract.
Scaling equations are used to derive formulae of quadratures
involving polynomials and scaling/wavelet functions with compact
supports; in particular, those discovered by Daubechies.
It turns out that with a few parameters, which are theoretically exact,
these quadratures can be evaluated with algebraic
formulae instead of numerical approximations.
Those parameters can be obtained with high precision
by solving well-conditioned linear
systems of equations which involve matrices already seen in the
literature of wavelets for other purposes.