Piero Barone

J. Multivar. Anal., 2016

On a class of parameters estimators in linear models dominating the least squares one.

[BibT_eX]

[DOI]

Isabella Lari

Digit. Signal Process., 2016

2013

A black box method for solving the complex exponentials approximation problem.

[BibT_eX]

[DOI]

Digit. Signal Process., 2013

2012

A Diffusion Equation for the Density of the Ratio of Two Jointly Distributed Gaussian Variables and the Exponential Analysis Problem.

[BibT_eX]

[DOI]

SIAM J. Sci. Comput., 2012

On the condensed density of the generalized eigenvalues of pencils of Gaussian random matrices and applications.

[BibT_eX]

[DOI]

J. Multivar. Anal., 2012

2010

Estimation of a new stochastic transform for solving the complex exponentials approximation problem: Computational aspects and applications.

[BibT_eX]

[DOI]

Digit. Signal Process., 2010

2009

Segmentation, Classification and Denoising of a Time Series Field by a Variational Method.

[BibT_eX]

[DOI]

Maria Francesca Carfora

J. Math. Imaging Vis., 2009

2008

A new transform for solving the noisy complex exponentials approximation problem.

[BibT_eX]

[DOI]

J. Approx. Theory, 2008

2006

Quantifying Human Brain Connectivity from Diffusion Tensor MRI.

[BibT_eX]

[DOI]

Francesco de Pasquale

J. Math. Imaging Vis., 2006

2005

A Fast Automatic Algorithm for Image Denoising by a Regularization Method.

[BibT_eX]

[DOI]

Massimiliano Caramia

SIAM J. Optim., 2005

On the distribution of poles of Padé approximants to the Z-transform of complex Gaussian white noise.

[BibT_eX]

[DOI]

J. Approx. Theory, 2005

2002

Over-relaxation methods and coupled Markov chains for Monte Carlo simulation.

[BibT_eX]

[DOI]

Julian Stander

Stat. Comput., 2002

2001

Solving an Inverse Diffusion Problem for Magnetic Resonance Dosimetry by a Fast Regularization Method.

[BibT_eX]

[DOI]

Real Time Imaging, 2001

2000

A new estimation method in modal analysis.

[BibT_eX]

[DOI]

Alessandro Ramponi

IEEE Trans. Signal Process., 2000

Reconstruction of a Piecewise Constant Function from Noisy Fourier Coefficients by Padé Method.

[BibT_eX]

[DOI]

SIAM J. Appl. Math., 2000

1999

Fast Deconvolution by a Two-Step Method.

[BibT_eX]

[DOI]

SIAM J. Sci. Comput., 1999

1998

Some properties of the asymptotic location of poles of Pade approximants to noisy rational functions, relevant for modal analysis.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 1998

Application of the Padé Method to Solving the Noisy Trigonometric Moment Problem: Some Initial Results.

[BibT_eX]

[DOI]

SIAM J. Appl. Math., 1998

1997

Bayesian estimation of parameters of a damped sinusoidal model by a Markov chain Monte Carlo method.

[BibT_eX]

[DOI]

Raffaello Ragona

IEEE Trans. Signal Process., 1997

Prony methods in NMR spectroscopy.

[BibT_eX]

[DOI]

Vincenza Viti

Caterina Petrucci

Int. J. Imaging Syst. Technol., 1997

1995

Truncation artifact reduction in magnetic resonance imaging by Markov random field methods.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 1995

Optimal importance sampling for some quadratic forms of ARMA processes.

[BibT_eX]

[DOI]

Anna Gigli

Mauro Piccioni

IEEE Trans. Inf. Theory, 1995

1992

A two-dimensional Prony's method for spectral estimation.

[BibT_eX]

[DOI]

Maria M. Barbieri

IEEE Trans. Signal Process., 1992

A new method of magnetic resonance image reconstruction with short acquisition time and truncation artifact reduction.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 1992

1991

Mathematical principles of basic magnetic resonance imaging in medicine.

[BibT_eX]

[DOI]

Signal Process., 1991

1988

Some practical remarks on the extended Prony's method of spectrum analysis.

[BibT_eX]

[DOI]