Search Results - "MONTEFUSCO, Laura B"

Radial basis functions for the multivariate interpolation of large scattered data sets by Lazzaro, Damiana, Montefusco, Laura B.

“…An efficient method for the multivariate interpolation of very large scattered data sets is presented. It is based on the local use of radial basis functions…”
Get full text

A Fast Compressed Sensing Approach to 3D MR Image Reconstruction by Montefusco, Laura B, Lazzaro, Damiana, Papi, Serena, Guerrini, Carla

“…The problem of high-resolution image volume reconstruction from reduced frequency acquisition sequences has drawn significant attention from the scientific…”
Get full text

Blind cluster structured sparse signal recovery: A nonconvex approach by Lazzaro, Damiana, Montefusco, Laura B., Papi, Serena

“…We consider the problem of recovering a sparse signal when its nonzero coefficients tend to cluster into blocks, whose number, dimension and position are…”
Get full text

A fast algorithm for nonconvex approaches to sparse recovery problems by Montefusco, Laura B., Lazzaro, Damiana, Papi, Serena

“…This paper addresses the problem of sparse signal recovery from a lower number of measurements than those requested by the classical compressed sensing theory…”
Get full text

Fast Sparse Image Reconstruction Using Adaptive Nonlinear Filtering by Montefusco, L B, Lazzaro, D, Papi, S

“…Compressed sensing is a new paradigm for signal recovery and sampling. It states that a relatively small number of linear measurements of a sparse signal can…”
Get full text

Nonlinear Filtering for Sparse Signal Recovery From Incomplete Measurements by Montefusco, L.B., Lazzaro, D., Papi, S.

“…The problem of recovering sparse signals and sparse gradient signals from a small collection of linear measurements is one that arises naturally in many…”
Get full text

Multiwavelet analysis and signal processing by Cotronei, M., Montefusco, L.B., Puccio, L.

“…In this paper we present some results and applications concerning the recent theory of multiscaling functions and multiwavelets. In particular, we present the…”
Get full text

Image compression through embedded multiwavelet transform coding by Cotronei, M., Lazzaro, D., Montefusco, L.B., Puccio, L.

“…In this paper, multiwavelets are considered in the context of image compression and two orthonormal multiwavelet bases are experimented, each used in…”
Get full text

A parameter selection method for wavelet shrinkage denoising by MONTEFUSCO, Laura B, PAPI, Serena

Get full text

Semi-orthogonal wavelet packet bases for parallel least-squares approximation by Montefusco, Laura B.

“…A generalization to the wavelet packet case of the semi-orthogonal wavelets given by C.K. Chui is presented and a simple numerical algorithm for their…”
Get full text

An iterative L1-based image restoration algorithm with an adaptive parameter estimation by Montefusco, Laura B, Lazzaro, Damiana

“…Regularization methods for the solution of ill-posed inverse problems can be successfully applied if a right estimation of the regularization parameter is…”
Get full text