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

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Distributed Spatio-Temporal Sampling of Diffusion Fields from Sparse Instantaneous Sources

Martin Vetterli, Yue Lu

We study the spatio-temporal sampling of a diffusion field driven by K unknown instantaneous source distributions. Exploiting the spatio-temporal correlation offered by the diffusion model, we show that it is possible to compensate for insufficient spatial ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2009

Wave field coding in the spacetime frequency domain

Martin Vetterli, Francisco Pereira Correia Pinto

We present a new method for compressing spatio-temporal audio data for reproduction through Wave Field Synthesis. The data is obtained by sampling the sound field in space at equally-spaced points on a straight line, and transformed into the frequency doma ...

2008

Differences between observation and sampling error in sparse signal reconstruction

Michael Christoph Gastpar

The field of Compressed Sensing has shown that a relatively small number of random projections provide sufficient information to accurately reconstruct sparse signals. Inspired by applications in sensor networks in which each sensor is likely to observe a ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2007

Consistent Sampling and Signal Recovery

Michaël Unser

An attractive formulation of the sampling problem is based on the principle of a consistent signal reconstruction. The requirement is that the reconstructed signal is indistinguishable from the input in the sense that it yields the exact same measurements. ...

Institute of Electrical and Electronics Engineers2007

Sensing and communication with and without bits

Martin Vetterli, Michael Christoph Gastpar, Pier Luigi Dragotti

The successful design of sensor network architectures depends crucially on the structure of the sampling, observation, and communication processes. One of the most fundamental ques- tions concerns the sufficiency of discrete approximations in time, space, ...

2006

The Plenacoustic Function and its Sampling

Martin Vetterli, Luciano Sbaiz, Thibaut Ajdler

The spatialization of the sound field in a room is studied, in particular the evolution of room impulse responses as a function of their spatial positions. It was observed that the multidimensional spectrum of the solution of the wave equation has an almos ...

2006

Improved echo volumar imaging (EVI) for functional MRI

Wietske Van der Zwaag

Echo volumar imaging (EVI) is a 3D modification of echo-planar imaging (EPI) that allows data from an entire volume to be acquired following a single RF excitation. EVI provides a high rate of volumar data acquisition, which is advantageous for functional ...

Wiley-Blackwell2006

Super-Resolution from Highly Undersampled Images

Martin Vetterli, Sabine Süsstrunk, Luciano Sbaiz, Patrick Vandewalle

Aliasing artifacts in images are visually very disturbing. Therefore, most imaging devices apply a low-pass filter before sampling. This removes all aliasing from the image, but it also creates a blurred image. Actually, all the image information above hal ...

2005

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

Graph Chatbot

Chat with Graph Search

Sampling of Alternatives for Route Choice Modeling

Distributed Spatio-Temporal Sampling of Diffusion Fields from Sparse Instantaneous Sources

Wave field coding in the spacetime frequency domain

Differences between observation and sampling error in sparse signal reconstruction

Consistent Sampling and Signal Recovery

Residual stresses in diffusion barrier films on polymer substrates for flexible displays

Sensing and communication with and without bits

The Plenacoustic Function and its Sampling

Improved echo volumar imaging (EVI) for functional MRI

Super-Resolution from Highly Undersampled Images

Sampling of Alternatives for Route Choice Modeling

Wave field coding in the spacetime frequency domain

Residual stresses in diffusion barrier films on polymer substrates for flexible displays

Differences between observation and sampling error in sparse signal reconstruction

Distributed Spatio-Temporal Sampling of Diffusion Fields from Sparse Instantaneous Sources

Consistent Sampling and Signal Recovery

The Plenacoustic Function and its Sampling

Improved echo volumar imaging (EVI) for functional MRI

Sensing and communication with and without bits

Super-Resolution from Highly Undersampled Images