Publications related to OptiMoS: Optimal Sensing for Mobile Sensors

Sensor Networks for Diffusion Fields: Detection of Sources in Space and Time

Martin Vetterli, Ivan Dokmanic, Juri Ranieri, Amina Chebira

Abstract—We consider the problem of reconstructing a diffusion field, such as temperature, from samples collected by a sensor network. Motivated by the fast decay of the eigenvalues of the diffusion equation, we approximate the field by a truncated series. ...

2011

Sampling and Reconstructing Diffusion Fields with Localized Sources

Martin Vetterli, Yue Lu, Juri Ranieri, Amina Chebira

We study the spatiotemporal sampling of a diffusion field generated by K point sources, aiming to fully reconstruct the unknown initial field distribution from the sample measurements. The sampling operator in our problem can be described by a matrix deriv ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2011

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

Metropolis-Hastings sampling of paths

Michel Bierlaire, Gunnar Flötteröd

We consider the previously unsolved problem of sampling paths according to a given distribution from a general network. The problem is difficult because of the combinatorial number of alternatives, which prohibits a complete enumeration of all paths and he ...

2011

Metropolis-Hastings sampling of paths

Michel Bierlaire, Gunnar Flötteröd

We consider the previously unsolved problem of sampling paths according to a given distribution from a general network. The problem is difficult because of the combinatorial number of alternatives, which prohibits a complete enumeration of all paths and he ...

2011

Metropolis-Hastings sampling of paths

Michel Bierlaire, Gunnar Flötteröd

We consider the previously unsolved problem of sampling cycle-free paths according to a given distribution from a general network. The problem is difficult because of the combinatorial number of alternatives, which prohibits a complete enumeration of all p ...

2011

Metropolis-Hastings sampling of alternatives for route choice models

Michel Bierlaire, Gunnar Flötteröd

Sampling of alternatives has been shown to be an operational technique for the estimation of route choice models. In order to apply it, the sampling protocol generating paths must be such that the sampling probability is known, in order to correct for the ...

2010

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

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

A Concurrent Quadrature Sub-Sampling Mixer for Multiband Receivers

Christian Enz, Aravind Prasad Heragu Singaiyengar

A quadrature sub-sampling direct conversion mixer capable of sampling two or more bands concurrently using a single sampling frequency is presented. The implementation of the mixer to sample a band in quadrature and downconvert it to baseband is discussed ...

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

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Sensor Networks for Diffusion Fields: Detection of Sources in Space and Time

Sampling and Reconstructing Diffusion Fields with Localized Sources

Sampling Trajectories for Mobile Sensing

Metropolis-Hastings sampling of paths

Metropolis-Hastings sampling of paths

Metropolis-Hastings sampling of paths

Metropolis-Hastings sampling of alternatives for route choice models

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

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

A Concurrent Quadrature Sub-Sampling Mixer for Multiband Receivers

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

Sampling Trajectories for Mobile Sensing

Metropolis-Hastings sampling of paths

A Concurrent Quadrature Sub-Sampling Mixer for Multiband Receivers

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

Metropolis-Hastings sampling of paths

Sensor Networks for Diffusion Fields: Detection of Sources in Space and Time

Metropolis-Hastings sampling of alternatives for route choice models

Metropolis-Hastings sampling of paths

Sampling and Reconstructing Diffusion Fields with Localized Sources