Publications associées à Sampling signals with finite rate of innovation: the noisy case

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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

Sampling signals with finite rate of innovation: the noisy case

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Chattez avec Graph Search

Bolometric detection of ferromagnetic resonance in YIG slab

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

Sampling and Reconstruction of Shapes with Algebraic Boundaries

Sampling Sparse Signals on the Sphere: Algorithms and Applications

Spatial fringe analysis techniques for multiple phase and phase derivative estimation

Compressed delay-and-sum beamforming for ultrafast ultrasound imaging

CORRELATED MULTIPLE SAMPLING CMOS IMAGE SENSOR

Evaluation of the accuracy of BOTDA systems based on the phase spectral response

Learning Data Triage: Linear Decoding Works for Compressive MRI

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

Bolometric detection of ferromagnetic resonance in YIG slab

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

Sampling and Reconstruction of Shapes with Algebraic Boundaries

Spatial fringe analysis techniques for multiple phase and phase derivative estimation

Sampling Sparse Signals on the Sphere: Algorithms and Applications

Compressed delay-and-sum beamforming for ultrafast ultrasound imaging

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

Evaluation of the accuracy of BOTDA systems based on the phase spectral response

CORRELATED MULTIPLE SAMPLING CMOS IMAGE SENSOR

Learning Data Triage: Linear Decoding Works for Compressive MRI