AbstractIn this paper, we introduce matrix-valued multi-resolution structure and matrix-valued bivariate wavelet wraps. A constructive method of semi-orthogonal matrix-valued bivari-ate wavelet wraps is presented. Their properties have been characterized by using time-frequency analysis method, unitary extension principle and operator theory. The direct decom-position relation is obtained
Motivated by the multivariate wavelet theory, and by the spectral theory of transfer operators, we c...
The notion of multiresolution analysis (MRA) is a familiar concept to the approximation theorist. In...
Multiwavelets are wavelets with multiplicity r, that is r scaling functions and r wavelets, which de...
AbstractThe advantages of wavelet packets and their promising features in various application have a...
Abstract. In this paper, we introduce a class of vector-valued four-dimensional wavelet packets acco...
AbstractIn this paper, the notion of matrix-valued multiresolution analysis is introduced. A procedu...
polyphase matrix Abstract. Material science is an interdisciplinary field applying the properties of...
AbstractWavelet analysis has been developed a new branch for over twenty years. The concept of vecto...
AbstractWavelet analysis is nowadays a widely used tool in applied mathematics. The concept of vecto...
AbstractAside from the straightforward construction of Daubechies’ wavelets, only a few, specific co...
A Fourier multiplier for orthonormal wavelets is an L∞- function that sends every orthonormal wavele...
Let a =(a1,a2,…,am)∈ℂm be an m-dimensional vector. Then, it can be identified with an m×m circulant...
. This paper gives an overview of recent achievements of the multiwavelet theory. The construction o...
A Fourier multiplier for orthonormal wavelets is an L-infinity-function that sends every orthonormal...
AbstractIn this paper, we introduce and investigate multichannel wavelets, which are wavelets for ve...
Motivated by the multivariate wavelet theory, and by the spectral theory of transfer operators, we c...
The notion of multiresolution analysis (MRA) is a familiar concept to the approximation theorist. In...
Multiwavelets are wavelets with multiplicity r, that is r scaling functions and r wavelets, which de...
AbstractThe advantages of wavelet packets and their promising features in various application have a...
Abstract. In this paper, we introduce a class of vector-valued four-dimensional wavelet packets acco...
AbstractIn this paper, the notion of matrix-valued multiresolution analysis is introduced. A procedu...
polyphase matrix Abstract. Material science is an interdisciplinary field applying the properties of...
AbstractWavelet analysis has been developed a new branch for over twenty years. The concept of vecto...
AbstractWavelet analysis is nowadays a widely used tool in applied mathematics. The concept of vecto...
AbstractAside from the straightforward construction of Daubechies’ wavelets, only a few, specific co...
A Fourier multiplier for orthonormal wavelets is an L∞- function that sends every orthonormal wavele...
Let a =(a1,a2,…,am)∈ℂm be an m-dimensional vector. Then, it can be identified with an m×m circulant...
. This paper gives an overview of recent achievements of the multiwavelet theory. The construction o...
A Fourier multiplier for orthonormal wavelets is an L-infinity-function that sends every orthonormal...
AbstractIn this paper, we introduce and investigate multichannel wavelets, which are wavelets for ve...
Motivated by the multivariate wavelet theory, and by the spectral theory of transfer operators, we c...
The notion of multiresolution analysis (MRA) is a familiar concept to the approximation theorist. In...
Multiwavelets are wavelets with multiplicity r, that is r scaling functions and r wavelets, which de...