Publications associées à A Time-Domain Wavelet-Based Approach for Fluorescence Diffuse Optical Tomography

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Sampling and Reconstruction of Shapes with Algebraic Boundaries

Martin Vetterli, Arash Amini, Mitra Fatemi

We present a sampling theory for a class of binary images with finite rate of innovation (FRI). Every image in our model is the restriction of

\mathds{1}_{\{p\leq0\}}

to the image plane, where

\mathds{1}

denotes the indicator function and

p

is some r ...

2016

A Time-Domain Wavelet-Based Approach for Fluorescence Diffuse Optical Tomography

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Fault Detection and Diagnosis with Imbalanced and Noisy Data: A Hybrid Framework for Rotating Machinery

Systematic analysis of wavelet denoising methods for neural signal processing

On the 2D Post-Processing of Brillouin Optical Time-Domain Analysis

3D Bpconvnet To Reconstruct Parallel Mri

Sampling and Reconstruction of Shapes with Algebraic Boundaries

How does one compute the noise power to simulate real and complex GNSS signals?

Maximally Localized Radial Profiles for Tight Steerable Wavelet Frames

Convergence estimates in probability and in expectation for discrete least squares with noisy evaluations at random points

MATHICSE Technical Report : Convergence estimates in probability and in expectation for discrete least squares with noisy evaluations at random points

Variational Justification of Cycle Spinning for Wavelet-Based Solutions of Inverse Problems

Fault Detection and Diagnosis with Imbalanced and Noisy Data: A Hybrid Framework for Rotating Machinery

Maximally Localized Radial Profiles for Tight Steerable Wavelet Frames

Systematic analysis of wavelet denoising methods for neural signal processing

Sampling and Reconstruction of Shapes with Algebraic Boundaries

Variational Justification of Cycle Spinning for Wavelet-Based Solutions of Inverse Problems

3D Bpconvnet To Reconstruct Parallel Mri

MATHICSE Technical Report : Convergence estimates in probability and in expectation for discrete least squares with noisy evaluations at random points

On the 2D Post-Processing of Brillouin Optical Time-Domain Analysis

How does one compute the noise power to simulate real and complex GNSS signals?

Convergence estimates in probability and in expectation for discrete least squares with noisy evaluations at random points