Publications associées à Ultrawide Bandwidth Signals as Shot-Noise: a Unifying Approach

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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

Ultrawide Bandwidth Signals as Shot-Noise: a Unifying Approach

Graph Chatbot

Chattez avec Graph Search

SPHARMA approximations for stationary functional time series on the sphere

Dynamical Coulomb Blockade as a Local Probe for Quantum Transport

Gaussian and sparse processes are limits of generalized Poisson processes

On Jump-Diffusive Driving Noise Sources: Some Explicit Results and Applications

Scaling Limits of Solutions of Linear Stochastic Differential Equations Driven by Levy White Noises

Periodic Splines and Gaussian Processes for the Resolution of Linear Inverse Problems

Gaussian versus Sparse Stochastic Processes

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

Nonuniformity Analysis of a 65-kpixel CMOS SPAD Imager

Sampling and Reconstruction of Shapes with Algebraic Boundaries

SPHARMA approximations for stationary functional time series on the sphere

Gaussian and sparse processes are limits of generalized Poisson processes

On Jump-Diffusive Driving Noise Sources: Some Explicit Results and Applications

Dynamical Coulomb Blockade as a Local Probe for Quantum Transport

Scaling Limits of Solutions of Linear Stochastic Differential Equations Driven by Levy White Noises

Gaussian versus Sparse Stochastic Processes

Nonuniformity Analysis of a 65-kpixel CMOS SPAD Imager

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

Sampling and Reconstruction of Shapes with Algebraic Boundaries

Periodic Splines and Gaussian Processes for the Resolution of Linear Inverse Problems