Publications associées à Repliement de spectre

Sampling High-Dimensional Bandlimited Fields on Low-Dimensional Manifolds

Martin Vetterli, Jayakrishnan Unnikrishnan

Consider the task of sampling and reconstructing a bandlimited spatial field in

\Re^2

using moving sensors that take measurements along their path. It is inexpensive to increase the sampling rate along the paths of the sensors but more expensive to incre ...

Institute of Electrical and Electronics Engineers2013

Autocalibrated Signal Reconstruction From Linear Measurements Using Adaptive Gamp

Michaël Unser, Emrah Bostan, Ulugbek Kamilov, Aurélien Bourquard

In this paper, we reconstruct signals from underdetermined linear measurements where the componentwise gains of the measurement system are unknown a priori. The reconstruction is performed through an adaptation of the message-passing algorithm called adapt ...

Ieee2013

Autocalibrated Signal Reconstruction from Linear Measurements Using Adaptive GAMP

Michaël Unser, Emrah Bostan, Ulugbek Kamilov, Aurélien Bourquard

In this paper, we reconstruct signals from underdetermined linear measurements where the componentwise gains of the measurement system are unknown a priori. The reconstruction is performed through an adaptation of the message-passing algorithm called adapt ...

IEEE2013

Controlling caustics

Mark Pauly

Caustics are captivating light patterns created by materials focusing or diverting light by refraction or reflection. We know caustics as random side effects, appearing, for example, at the bottom of a swimming pool, or generated by many glass objects, lik ...

2013

A Practical Inverse-Problem Approach to Digital Holographic Reconstruction

Michaël Unser, Christian Depeursinge, Nicolas Pavillon, Emrah Bostan, Aurélien Bourquard

In this paper, we propose a new technique for high-quality reconstruction from single digital holographic acquisitions. The unknown complex object field is found as the solution of a nonlinear inverse problem that consists in the minimization of an energy ...

OSA2013

Sampling and reconstructing spatial fields using mobile sensors

Martin Vetterli, Jayakrishnan Unnikrishnan

The classical approach to sampling time-invariant spatial fields uses static sensors distributed over space. We study a new approach involving mobile sensors that move through space measuring the field values along their paths. A single moving sensor can t ...

Ieee2012

Realistic Analytical Phantoms for Parallel Magnetic Resonance Imaging

Michaël Unser, Matthieu Guerquin-Kern

The quantitative validation of reconstruction algorithms requires reliable data. Rasterized simulations are popular but they are tainted by an aliasing component that impacts the assessment of the performance of reconstruction. We introduce analytical simu ...

IEEE2012

On the Bandwidth of the Plenoptic Function

Martin Vetterli, Minh Do, Davy Marchand-Maillet

The plenoptic function (POF) provides a powerful conceptual tool for describing a number of problems in image/video processing, vision, and graphics. For example, image based-rendering can be seen as sampling and interpolation of the POF. In such applicati ...

Institute of Electrical and Electronics Engineers2012

Lossy source coding via spatially coupled LDGM ensembles

Rüdiger Urbanke, Nicolas Macris, Vahid Aref, Marc Vuffray

We study a new encoding scheme for lossy source compression based on spatially coupled low-density generatormatrix codes. We develop a belief-propagation guided-decimation algorithm, and show that this algorithm allows to approach the optimal distortion of ...

Ieee2012

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

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Sampling High-Dimensional Bandlimited Fields on Low-Dimensional Manifolds

Autocalibrated Signal Reconstruction From Linear Measurements Using Adaptive Gamp

Autocalibrated Signal Reconstruction from Linear Measurements Using Adaptive GAMP

Controlling caustics

A Practical Inverse-Problem Approach to Digital Holographic Reconstruction

Sampling and reconstructing spatial fields using mobile sensors

Realistic Analytical Phantoms for Parallel Magnetic Resonance Imaging

On the Bandwidth of the Plenoptic Function

Lossy source coding via spatially coupled LDGM ensembles

Sampling Trajectories for Mobile Sensing

Sampling High-Dimensional Bandlimited Fields on Low-Dimensional Manifolds

Autocalibrated Signal Reconstruction From Linear Measurements Using Adaptive Gamp

Controlling caustics

Sampling and reconstructing spatial fields using mobile sensors

Autocalibrated Signal Reconstruction from Linear Measurements Using Adaptive GAMP

A Practical Inverse-Problem Approach to Digital Holographic Reconstruction

On the Bandwidth of the Plenoptic Function

Realistic Analytical Phantoms for Parallel Magnetic Resonance Imaging

Sampling Trajectories for Mobile Sensing

Lossy source coding via spatially coupled LDGM ensembles