Add to ORKGFor a function f in L2(ℝ), a wavelet transform with respect to an admissible function is defined such that its singularities are precisely the points where f fails to be smooth
One way of estimating a function from indirect, noisy measurements is to regularise an inverse of it...
One way of estimating a function from indirect, noisy measurements is to regularise an inverse of it...
In wavelet representations, the magnitude of the wavelet coefficients depends on both the smoothness...
.The paper concerns wavelet bases in the space L2(M). We give a review of elements of the wavelet th...
We will show how to analyse the local regularity of functions with the help of the wavelet transform...
Wavelets are a recently developed tool for the analysis and synthesis of functions; their simplicity...
In this paper I formulate an explicit wavelet transform that, applied to any distribution in S^1(R^2...
Abstract-Most of a signal information is often carried by irregular structures and transient phenome...
The paper considers a local wavelet transform with a singular basis wavelet. The problem of nonparam...
We study the continuous and semi-discrete wavelet transform applied to functions with values in Lebe...
Abstract—In the research of singular signal detection, the selection of wavelet function is the firs...
This paper deals with the Fourier transform ω̂n of wavelet packets ωn ∈ L2(ℝ) relative to the scalin...
A wavelet is a localized function having a prescribed number of vanishing moments. In this correspon...
We treat a number of topics related to wavelets and the description of local regularity properties o...
This paper is concerned with the problem of determining the typical features of a curve when it is o...
One way of estimating a function from indirect, noisy measurements is to regularise an inverse of it...
One way of estimating a function from indirect, noisy measurements is to regularise an inverse of it...
In wavelet representations, the magnitude of the wavelet coefficients depends on both the smoothness...
.The paper concerns wavelet bases in the space L2(M). We give a review of elements of the wavelet th...
We will show how to analyse the local regularity of functions with the help of the wavelet transform...
Wavelets are a recently developed tool for the analysis and synthesis of functions; their simplicity...
In this paper I formulate an explicit wavelet transform that, applied to any distribution in S^1(R^2...
Abstract-Most of a signal information is often carried by irregular structures and transient phenome...
The paper considers a local wavelet transform with a singular basis wavelet. The problem of nonparam...
We study the continuous and semi-discrete wavelet transform applied to functions with values in Lebe...
Abstract—In the research of singular signal detection, the selection of wavelet function is the firs...
This paper deals with the Fourier transform ω̂n of wavelet packets ωn ∈ L2(ℝ) relative to the scalin...
A wavelet is a localized function having a prescribed number of vanishing moments. In this correspon...
We treat a number of topics related to wavelets and the description of local regularity properties o...
This paper is concerned with the problem of determining the typical features of a curve when it is o...
One way of estimating a function from indirect, noisy measurements is to regularise an inverse of it...
One way of estimating a function from indirect, noisy measurements is to regularise an inverse of it...
In wavelet representations, the magnitude of the wavelet coefficients depends on both the smoothness...