Javascript must be enabled to continue!
An algorithm for constructing biorthogonal multiwavelets with higher approximation orders
View through CrossRef
Given a pair of biorthogonal multiscaling functions, we present an algorithm for raising their approximation orders to any desired level. Precisely, let Φ(x) and (x) be a pair of biorthogonal multiscaling functions of multiplicity r, with approximation orders m and , respectively. Then for some integer s, we can construct a pair of new biorthogonal multiscaling functions Φnew(x) = [ΦT (x), φr+1 (x), φr+2(x),… φr+s(x)]T and new(x) = [ (x) T, r+1(x), r+2(x),… r+s(x)]T with approximation orders n (n > m) and ñ (ñ > ), respectively. In addition, corresponding to Φnew(x) and new(x) a biorthogonal multiwavelet pair ψnew(x) and new(x) is constructed explicitly. Finally, an example is given.
Title: An algorithm for constructing biorthogonal multiwavelets with higher approximation orders
Description:
Given a pair of biorthogonal multiscaling functions, we present an algorithm for raising their approximation orders to any desired level.
Precisely, let Φ(x) and (x) be a pair of biorthogonal multiscaling functions of multiplicity r, with approximation orders m and , respectively.
Then for some integer s, we can construct a pair of new biorthogonal multiscaling functions Φnew(x) = [ΦT (x), φr+1 (x), φr+2(x),… φr+s(x)]T and new(x) = [ (x) T, r+1(x), r+2(x),… r+s(x)]T with approximation orders n (n > m) and ñ (ñ > ), respectively.
In addition, corresponding to Φnew(x) and new(x) a biorthogonal multiwavelet pair ψnew(x) and new(x) is constructed explicitly.
Finally, an example is given.
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...
A fast algorithm for constructing orthogonal multiwavelets
A fast algorithm for constructing orthogonal multiwavelets
AbstractMultiwavelets possess some nice features that uniwavelets do not. A consequence of this is that multiwavelets provide interesting applications in signal processing as well ...
Pemampatan Intraframe pada Citra Sekuensial Menggunakan Gelombang Singkat Biorthogonal
Pemampatan Intraframe pada Citra Sekuensial Menggunakan Gelombang Singkat Biorthogonal
Abstract. In the sequential image compression process there are two compression processes known as intraframe and interframe compressions. This paper focuses on intraframe compress...
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...
Multivariable biorthogonal Hahn polynomials
Multivariable biorthogonal Hahn polynomials
A multivariable biorthogonal generalization of the discrete Hahn polynomials, a p+1 complex parameter family, where p is the number of variables, is presented. It is shown that the...
A biorthogonal approach to the infinite dimensional fractional Poisson measure
A biorthogonal approach to the infinite dimensional fractional Poisson measure
In this paper, we use a biorthogonal approach to the analysis of the infinite dimensional fractional Poisson measure [Formula: see text], [Formula: see text], on the dual of Schwar...
Use of Executive Orders in Nigeria by the Executive Branch of Government in Time of Emergency
Use of Executive Orders in Nigeria by the Executive Branch of Government in Time of Emergency
Executive Orders are not invoked as a matter of course by the President or Governors heading the Executive Cabinet. These orders are exercisable when heads of the executive branch ...
Bi-Fuzzy S-Approximation Spaces
Bi-Fuzzy S-Approximation Spaces
The S-approximation spaces are significant extension of the rough set model and have been widely applied in intelligent decision-making. However, traditional S-approximation spaces...

