Publications related to Compressed delay-and-sum beamforming for ultrafast ultrasound imaging

Resolution-Invariant Separable ARMA Modeling of Images

Michaël Unser, Aurélien Bourquard, Hagay Kirshner

We suggest a continuous-domain stochastic modeling of images that is invariant to spatial resolution. Specifically, we are proposing an estimator that is calibrated with respect to the sampling step, and that can potentially handle aliased data. Motivated ...

IEEE2011

Sampling Trajectories for Mobile Sensing

Martin Vetterli, Jayakrishnan Unnikrishnan

Classical sampling theory for sampling and reconstructing bandlimited fields in

\Re^d

addresses the problem of sampling on lattice points. We consider a generalization of this problem, in which one samples the field along

1

-dimensional spatial trajecto ...

2011

Methods and apparatus for estimating a sparse channel

Martin Vetterli, Ali Hormati, Yann Barbotin

Embodiments include a method for sending a selected number of pilots (20) to a sparse channel having a channel impulse response limited in time comprising sending the selected number of the pilots (20). The pilots (20) are equally spaced in the frequency d ...

USPTO2011

Distributed Sampling of Signals Linked by Sparse Filtering: Theory and Applications

Martin Vetterli, Olivier Roy, Yue Lu, Ali Hormati

We study the distributed sampling and centralized reconstruction of two correlated signals, modeled as the input and output of an unknown sparse filtering operation. This is akin to a Slepian-Wolf setup, but in the sampling rather than the lossless compres ...

2010

Non-linear interpolation and adaptive sampling of scattering parameters

Michael Mattes

The accurate and efficient sampling of scattering parameters is addressed. A popular sampling technique is the uniform sampling combined with a straight-line interpolation for representing the continuous variation of the observable. However, this sampling ...

2010

Continuous-Time AR Model Identification: Does Sampling Rate Really Matter?

Michaël Unser, Hagay Kirshner, Simona Maggio

We address the problem of identifying continuous-time auto regressive (CAR) models from sampled data. The exponential nature of CAR autocorrelation functions is taken into account by means of exponential B-splines modelling, allowing one to associate the a ...

EURASIP2010

Nonlinear sampling technique for microwave devices

Michael Mattes

This communication addresses the problem of any simulation tool: the accurate and efficient sampling of a physical observable with respect to a parameter. A popular sampling technique is the uniform sampling combined with a straight-line interpolation for ...

2009

Spatial Super-Resolution of a Diffusion Field by Temporal Oversampling in Sensor Networks

Martin Vetterli, Yue Lu

We study the spatial-temporal sampling of a linear diffusion field, and show that it is possible to compensate for insufficient spatial sampling densities by oversampling in time. Our work is motivated by the following issue often encountered in sensor net ...

2009

Compressive Sampling of Pulse Trains : Spread the Spectrum !

Pierre Vandergheynst, Rémi Gribonval, Laurent Jacques

In this paper we consider the problem of sampling far below the Nyquist rate signals that are sparse linear superpositions of shifts of a known, potentially wide-band, pulse. This signal model is key for applications such as Ultra Wide Band (UWB) communica ...

2009

Feature Extraction for Image Super-resolution using Finite Rate of Innovation Principles

Loïc Arnaud Baboulaz

To understand a real-world scene from several multiview pictures, it is necessary to find the disparities existing between each pair of images so that they are correctly related to one another., This process. called image registration, reguires the extract ...

Imperial College London2008

Compressed delay-and-sum beamforming for ultrafast ultrasound imaging

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Resolution-Invariant Separable ARMA Modeling of Images

Sampling Trajectories for Mobile Sensing

Methods and apparatus for estimating a sparse channel

Distributed Sampling of Signals Linked by Sparse Filtering: Theory and Applications

Non-linear interpolation and adaptive sampling of scattering parameters

Continuous-Time AR Model Identification: Does Sampling Rate Really Matter?

Nonlinear sampling technique for microwave devices

Spatial Super-Resolution of a Diffusion Field by Temporal Oversampling in Sensor Networks

Compressive Sampling of Pulse Trains : Spread the Spectrum !

Feature Extraction for Image Super-resolution using Finite Rate of Innovation Principles

Non-linear interpolation and adaptive sampling of scattering parameters

Sampling Trajectories for Mobile Sensing

Continuous-Time AR Model Identification: Does Sampling Rate Really Matter?

Methods and apparatus for estimating a sparse channel

Spatial Super-Resolution of a Diffusion Field by Temporal Oversampling in Sensor Networks

Nonlinear sampling technique for microwave devices

Compressive Sampling of Pulse Trains : Spread the Spectrum !

Feature Extraction for Image Super-resolution using Finite Rate of Innovation Principles

Distributed Sampling of Signals Linked by Sparse Filtering: Theory and Applications

Resolution-Invariant Separable ARMA Modeling of Images