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Daubechies wavelets on intervals with application to BVPs

Václav Finěk (2004)

Applications of Mathematics

In this paper, Daubechies wavelets on intervals are investigated. An analytic technique for evaluating various types of integrals containing the scaling functions is proposed; they are compared with classical techniques. Finally, these results are applied to two-point boundary value problems.

Designing Local Orthogonal Bases on Finite Groups I: Abelian Case.

Riccardo Bernardini, Jelena Kovacevic (2000)

The journal of Fourier analysis and applications [[Elektronische Ressource]]

Designing Local Orthogonal Bases on Finite Groups II: Nonabelian Case.

Riccardo Bernardini, Jelena Kovacevic (2000)

The journal of Fourier analysis and applications [[Elektronische Ressource]]

Determination of the number of texture segments using wavelets.

Havlicek, Joseph P., Tay, Peter C. (2001)

Electronic Journal of Differential Equations (EJDE) [electronic only]

Determining the weights of a Fourier series neural network on the basis of the multidimensional discrete Fourier transform

Krzysztof Halawa (2008)

International Journal of Applied Mathematics and Computer Science

This paper presents a method for training a Fourier series neural network on the basis of the multidimensional discrete Fourier transform. The proposed method is characterized by low computational complexity. The article shows how the method can be used for modelling dynamic systems.

Discrete wavelet transforms accelerated sparse preconditioners for dense boundary element systems.

Chen, Ke (1999)

ETNA. Electronic Transactions on Numerical Analysis [electronic only]

Double Coset Decompositions and Computational Harmonic Analysis on Groups.

David K. Malsen, Daniel N. Rockmore (2000)

The journal of Fourier analysis and applications [[Elektronische Ressource]]

Displaying 1 – 7 of 7

Daubechies wavelets on intervals with application to BVPs

Designing Local Orthogonal Bases on Finite Groups I: Abelian Case.

Designing Local Orthogonal Bases on Finite Groups II: Nonabelian Case.

Determination of the number of texture segments using wavelets.

Determining the weights of a Fourier series neural network on the basis of the multidimensional discrete Fourier transform

Discrete wavelet transforms accelerated sparse preconditioners for dense boundary element systems.

Double Coset Decompositions and Computational Harmonic Analysis on Groups.

Currently displaying 1 – 7 of 7