Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

A fast algorithm for constructing orthogonal multiwavelets

View through CrossRef
AbstractMultiwavelets possess some nice features that uniwavelets do not. A consequence of this is that multiwavelets provide interesting applications in signal processing as well as in other fields. As is well known, there are perfect construction formulas for the orthogonal uniwavelet. However, a good formula with a similar structure for multiwavelets does not exist. In particular, there are no effective methods for the construction of multiwavelets with a dilation factor a (a ≥ 2, a ∈ Z). In this paper, a procedure for constructing compactly supported orthonormal multiscaling functions is first given. Based on the constructed multiscaling functions, we then propose a method of constructing multiwavelets, which is similar to that for constructing uniwavelets. In addition, a fast numerical algorithm for computing multiwavelets is given. Compared with traditional approaches, the algorithm is not only faster, but also computationally more efficient. In particular, the function values of several points are obtained simultaneously by using our algorithm once. Finally, we give three examples illustrating how to use our method to construct multiwavelets.
Cambridge University Press (CUP)
Title: A fast algorithm for constructing orthogonal multiwavelets
Description:
AbstractMultiwavelets possess some nice features that uniwavelets do not.
A consequence of this is that multiwavelets provide interesting applications in signal processing as well as in other fields.
As is well known, there are perfect construction formulas for the orthogonal uniwavelet.
However, a good formula with a similar structure for multiwavelets does not exist.
In particular, there are no effective methods for the construction of multiwavelets with a dilation factor a (a ≥ 2, a ∈ Z).
In this paper, a procedure for constructing compactly supported orthonormal multiscaling functions is first given.
Based on the constructed multiscaling functions, we then propose a method of constructing multiwavelets, which is similar to that for constructing uniwavelets.
In addition, a fast numerical algorithm for computing multiwavelets is given.
Compared with traditional approaches, the algorithm is not only faster, but also computationally more efficient.
In particular, the function values of several points are obtained simultaneously by using our algorithm once.
Finally, we give three examples illustrating how to use our method to construct multiwavelets.

Related Results

Biorthogonal interpolatory multiscaling functions and corresponding multiwavelets
Biorthogonal interpolatory multiscaling functions and corresponding multiwavelets
A method for constructing a pair of biorthogonal interpolatory multiscaling functions is given and an explicit formula for constructing the corresponding biorthogonal multiwavelets...
Orthogonal labeling
Orthogonal labeling
<div class="page" title="Page 1"><div class="layoutArea"><div class="column"><p><span>Let ∆</span><span>G </span><span>be the ...
ECG Sparsity Evaluation on a Multiwavelet Basis
ECG Sparsity Evaluation on a Multiwavelet Basis
AbstractIn this paper, an evaluation of the multiwavelet basis’ capability to represent the ECG signal sparsely was performed. The paper includes the mathematical formulation of sp...
NUMERICAL SOLUTIONS OF HERMITE DIFFERENTIAL EQUATIONS USING LEGENDRE MULTIWAVELETS
NUMERICAL SOLUTIONS OF HERMITE DIFFERENTIAL EQUATIONS USING LEGENDRE MULTIWAVELETS
This paper presents a numerical method for solving Hermite differential equations (HDEs) using operational integration matrices derived from Legendre multiwavelets of linear, quadr...
Order-of-Addition Orthogonal Arrays with High Strength
Order-of-Addition Orthogonal Arrays with High Strength
In order-of-addition experiments, the full order-of-addition designs are often unaffordable due to their large run sizes. The problem of finding efficient fractional OofA designs a...
Optical polarized orthogonal matrix
Optical polarized orthogonal matrix
Abstract Orthogonal matrices have become indispensable tools in various fields, including coding, signal processing, and light field regulation. Traditionally, it has been ...
An optimization algorithm for single-molecule fluorescence resonance (smFRET) data processing
An optimization algorithm for single-molecule fluorescence resonance (smFRET) data processing
The single-molecule fluorescence resonance energy transfer (smFRET) technique plays an important role in the development of biophysics. Measuring the changes of the fluorescence in...
A Sparse CoSaMP Channel Estimation Algorithm With Adaptive Variable Step Size for an OFDM System
A Sparse CoSaMP Channel Estimation Algorithm With Adaptive Variable Step Size for an OFDM System
Compressive sampling matching pursuit (CoSaMP), as a conventional algorithm requiring system sparsity and sensitive to step size, was improved in this paper by approximating the sp...

Back to Top