Superresolution via sparsity constraints
SIAM Journal on Mathematical Analysis
A modified Prony algorithm for exponential function fitting
SIAM Journal on Scientific Computing
A Stable Numerical Method for Inverting Shape from Moments
SIAM Journal on Scientific Computing
LSQR: An Algorithm for Sparse Linear Equations and Sparse Least Squares
ACM Transactions on Mathematical Software (TOMS)
The Generalized Eigenvalue Problem for Nonsquare Pencils Using a Minimal Perturbation Approach
SIAM Journal on Matrix Analysis and Applications
A new transform for solving the noisy complex exponentials approximation problem
Journal of Approximation Theory
On the distribution of poles of Padé approximants to the Z-transform of complex Gaussian white noise
Journal of Approximation Theory
Shape from moments - an estimation theory perspective
IEEE Transactions on Signal Processing
Journal of Multivariate Analysis
SIAM Journal on Scientific Computing
A black box method for solving the complex exponentials approximation problem
Digital Signal Processing
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Many real life problems can be reduced to the solution of a complex exponentials approximation problem which is usually ill-posed. Recently a new transform for solving this problem, formulated as a specific moments problem in the plane, has been proposed in a theoretical framework. In this work some computational issues are addressed to make this new tool useful in practice. An algorithm is developed and used to solve a Nuclear Magnetic Resonance spectrometry problem, two time series interpolation and extrapolation problems and a shape from moments problem.