AbstractAn explicit functional called the shiftability value of wavelet basis, which measures a deviation from translation-invariance, is studied. For functions φ with ‖φ‖ = 1, it lies in (0,1] with the value 1 being best possible. The relation between the shiftability value rV of the father wavelet and the corresponding value rW of the mother wavelet is given. The shiftability value of Meyer's wavelet and the B-spline wavelets is computed. For Meyer's wavelet, we prove that rW = 3rV − 2 and demonstrate how to control the shiftability value by properly designing the wavelet. For the B-spline wavelet of order n, we give the asymptotical relation r(n)W ∼ 3r(n)V − 2, and show r(n)V → 1 as n → ∞. The family of B-spline wavelets contains several...
AbstractA multiresolution analysis for an orthogonal family of wavelets is usually not translation i...
In this article, we discuss short time Fourier transforms, integral wavelet transforms, and wavelet ...
Orthogonal wavelet transforms have recently become a popular representation for multiscale signal an...
AbstractAn explicit functional called the shiftability value of wavelet basis, which measures a devi...
Abstract — Shift-orthogonal wavelets are a new type of multiresolution wavelet bases that are orthog...
A wavelet basis is an orthonormal basis of smooth functions generated by dilations by 2-m and transl...
AbstractAn important cornerstone of both wavelet and sampling theory is shift-invariant spaces, that...
We build a multiresolution analysis based on shift-invariant exponential B-spline spaces. We constru...
Abstract—In this paper, we revisit wavelet theory starting from the representation of a scaling func...
: In both applications and wavelet theory, the spline wavelets are especially interesting, in part b...
Wavelet packets provide an algorithm with many applications in signal processing together with a lar...
An important cornerstone of both wavelet and sampling theory is shift-invariant spaces, that is, spa...
In wavelet representations, the magnitude of the wavelet coefficients depends on both the smoothness...
Wavelet theory is a relatively new tool for signal analysis. Although the rst wavelet was derived by...
. Due to their so-called time-frequency localization properties, wavelets have become a powerful too...
AbstractA multiresolution analysis for an orthogonal family of wavelets is usually not translation i...
In this article, we discuss short time Fourier transforms, integral wavelet transforms, and wavelet ...
Orthogonal wavelet transforms have recently become a popular representation for multiscale signal an...
AbstractAn explicit functional called the shiftability value of wavelet basis, which measures a devi...
Abstract — Shift-orthogonal wavelets are a new type of multiresolution wavelet bases that are orthog...
A wavelet basis is an orthonormal basis of smooth functions generated by dilations by 2-m and transl...
AbstractAn important cornerstone of both wavelet and sampling theory is shift-invariant spaces, that...
We build a multiresolution analysis based on shift-invariant exponential B-spline spaces. We constru...
Abstract—In this paper, we revisit wavelet theory starting from the representation of a scaling func...
: In both applications and wavelet theory, the spline wavelets are especially interesting, in part b...
Wavelet packets provide an algorithm with many applications in signal processing together with a lar...
An important cornerstone of both wavelet and sampling theory is shift-invariant spaces, that is, spa...
In wavelet representations, the magnitude of the wavelet coefficients depends on both the smoothness...
Wavelet theory is a relatively new tool for signal analysis. Although the rst wavelet was derived by...
. Due to their so-called time-frequency localization properties, wavelets have become a powerful too...
AbstractA multiresolution analysis for an orthogonal family of wavelets is usually not translation i...
In this article, we discuss short time Fourier transforms, integral wavelet transforms, and wavelet ...
Orthogonal wavelet transforms have recently become a popular representation for multiscale signal an...