Publications associées à Etudes comparatives des robustesses au bruit de l'approche 'Full Combination' et de son approximation

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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

Etudes comparatives des robustesses au bruit de l'approche 'Full Combination' et de son approximation

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Sensitivity, Noise and Resolution in a B -Modified Foundry-Made ISFET with Miniaturized Reference Electrode for Wearable Point-of-Care Applications

PIRACY: An Optimized Pipeline for Functional Connectivity Analysis in the Rat Brain

Removing Structured Noise With Self-Supervised Blind-Spot Networks

Blind Universal Bayesian Image Denoising With Gaussian Noise Level Learning

An Ultra Low-Noise Micropower PPG Sensor

Blind Universal Bayesian Image Denoising with Gaussian Noise Level Learning

Noise Analysis For Environmental Loading Effect On Gps Position Time Series

A Versatile Noise Performance Metric for Electrical Impedance Tomography Algorithms

A Noise Reconfigurable All-Digital Phase-Locked Loop Using a Switched Capacitor-Based Frequency-Locked Loop and a Noise Detector

Sampling and Reconstruction of Shapes with Algebraic Boundaries

Sensitivity, Noise and Resolution in a B -Modified Foundry-Made ISFET with Miniaturized Reference Electrode for Wearable Point-of-Care Applications

PIRACY: An Optimized Pipeline for Functional Connectivity Analysis in the Rat Brain

Noise Analysis For Environmental Loading Effect On Gps Position Time Series

A Noise Reconfigurable All-Digital Phase-Locked Loop Using a Switched Capacitor-Based Frequency-Locked Loop and a Noise Detector

An Ultra Low-Noise Micropower PPG Sensor

Removing Structured Noise With Self-Supervised Blind-Spot Networks

Blind Universal Bayesian Image Denoising With Gaussian Noise Level Learning

Blind Universal Bayesian Image Denoising with Gaussian Noise Level Learning

Sampling and Reconstruction of Shapes with Algebraic Boundaries

A Versatile Noise Performance Metric for Electrical Impedance Tomography Algorithms