The easy path wavelet transform (EPWT) has recently been proposed by one of the authors
as a tool for sparse representations of bivariate functions from discrete data, in particular …

Sparse representation of seismic data is a crucial step for seismic forward modeling and
seismic processing such as coherent noise separation, imaging, and sparsity-promoting …

Abstract The Easy Path Wavelet Transform (EPWT)(Plonka, 2009)[26] has recently been
proposed by one of the authors as a tool for sparse representations of bivariate functions …

The Easy Path Wavelet Transform (EPWT), 20 has recently been proposed by one of the
authors as a tool for sparse representations of bivariate functions from discrete data, in …

We propose a new algorithm for denoising of multivariate function values given at scattered
points in Rd. The method is based on the one-dimensional wavelet transform that is applied …

We propose a new algorithm for denoising of multivariate function values given at scattered
points in R^ d. The method is based on the one-dimensional wavelet transform that is …

Diese Dissertation befasst sich mit adaptiven Waveletmethoden zur Approximation von
Bildern. Zuerst wird die Easy-Path-Wavelet-Transformation vorgestellt. Dies ist eine adaptive …

针对现有大部分图像稀疏逼近算法通用性不强, 仅对具有某类特征的图像具有最优逼近性能的
问题, 利用小波变换与Tetrolet 变换各自的优点, 提出了一种通用性强, 不受图像特征限制的图像 …

We survey our latest results on the development and analysis of adaptive approximation
algorithms for sparse data representation, where special emphasis is placed on the Easy …

In the central spirit of harmonic analysis lies the concept of effectively decomposing,
analyzing and representing functions or functionals. It has lead to the flourish of Fourier …