Publications related to Nonlinear sampling technique for microwave devices

Approximate maximum likelihood estimation for population genetic inference

In many population genetic problems, parameter estimation is obstructed by an intractable likelihood function. Therefore, approximate estimation methods have been developed, and with growing computational power, sampling-based methods became popular. Howev ...

De Gruyter2017

Shapes from Pixels

Mitra Fatemi

In today's digital world, sampling is at the heart of any signal acquisition device. Imaging devices are ubiquitous examples that capture two-dimensional visual signals and store them as the pixels of discrete images. The main concern is whether and how th ...

EPFL2016

Sampling Sparse Signals on the Sphere: Algorithms and Applications

Yue Lu, Ivan Dokmanic

We propose a sampling scheme that can perfectly reconstruct a collection of spikes on the sphere from samples of their lowpass-filtered observations. Central to our algorithm is a generalization of the annihilating filter method, a tool widely used in arra ...

Institute of Electrical and Electronics Engineers2016

Compressed delay-and-sum beamforming for ultrafast ultrasound imaging

Jean-Philippe Thiran, Yves Wiaux, Rafael Eduardo Carrillo Rangel, Adrien Georges Jean Besson, Olivier Bernard

The theory of compressed sensing (CS) leverages upon structure of signals in order to reduce the number of samples needed to reconstruct a signal, compared to the Nyquist rate. Although CS approaches have been proposed for ultrasound (US) imaging with prom ...

Ieee2016

Compressive Spectral Clustering

Pierre Vandergheynst, Rémi Gribonval, Gilles Puy, Nicolas Tremblay

Spectral clustering has become a popular technique due to its high performance in many contexts. It comprises three main steps: create a similarity graph between N objects to cluster, compute the first k eigenvectors of its Laplacian matrix to define a fea ...

2016

Detection over diffusion networks: Asymptotic tools for performance prediction and simulation

Ali H. Sayed

Exploiting recent progress [1]-[4] in the characterization of the detection performance of diffusion strategies over adaptive multi-agent networks: i) we present two theoretical approximations, one based on asymptotic normality and the other based on the t ...

IEEE2016

An Algorithm for Formation-Based Chemical Plume Tracing Using Robotic Marine Vehicles

Alcherio Martinoli, Jorge Miguel Dias Almeida Rodrigues Soares, António Pedro Rodrigues de Aguiar

Robotic chemical plume tracing is a growing area of research, with envisioned real-world applications including pollution tracking, search and rescue, and ecosystem identification. However, following a chemical signal in the water is not an easy task due t ...

IEEE2016

Random sampling of bandlimited signals on graphs

Pierre Vandergheynst, Rémi Gribonval, Gilles Puy, Nicolas Tremblay

We study the problem of sampling

k

-bandlimited signals on graphs. We propose two sampling strategies that consist in selecting a small subset of nodes at random. The first strategy is non-adaptive, \ie, independent of the graph structure, and its perform ...

2015

A Methodology for Global Sensitivity Analysis for Time-Dependent Code Output Applied to Reflood Simulation in TRACE

Andreas Pautz, Damar Canggih Wicaksono, Omar Zerkak

Understanding properly the impact of model parameters and their interactions on the predictions is required for an appropriate model assessment. For simulation of reflooding following a LOCA, this requirement is justified because the important parameters a ...

2015

MATHICSE Technical Report : An algorithm for computing minimal Geršgorin sets

Agnieszka Katarzyna Miedlar

The first algorithms for computing the minimal Geršgorn set were developed by Varga et all. in [17] for the use on small and medium size (dense) matrices. Here, we first discuss the existing methods and present a new approach based on the modified Newton’s ...

MATHICSE2015

Nonlinear sampling technique for microwave devices

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Approximate maximum likelihood estimation for population genetic inference

Shapes from Pixels

Sampling Sparse Signals on the Sphere: Algorithms and Applications

Compressed delay-and-sum beamforming for ultrafast ultrasound imaging

Compressive Spectral Clustering

Detection over diffusion networks: Asymptotic tools for performance prediction and simulation

An Algorithm for Formation-Based Chemical Plume Tracing Using Robotic Marine Vehicles

Random sampling of bandlimited signals on graphs

A Methodology for Global Sensitivity Analysis for Time-Dependent Code Output Applied to Reflood Simulation in TRACE

MATHICSE Technical Report : An algorithm for computing minimal Geršgorin sets

Approximate maximum likelihood estimation for population genetic inference

Compressive Spectral Clustering

Sampling Sparse Signals on the Sphere: Algorithms and Applications

Detection over diffusion networks: Asymptotic tools for performance prediction and simulation

Shapes from Pixels

Compressed delay-and-sum beamforming for ultrafast ultrasound imaging

A Methodology for Global Sensitivity Analysis for Time-Dependent Code Output Applied to Reflood Simulation in TRACE

MATHICSE Technical Report : An algorithm for computing minimal Geršgorin sets

Random sampling of bandlimited signals on graphs

An Algorithm for Formation-Based Chemical Plume Tracing Using Robotic Marine Vehicles