Publications related to Survey sampling

Metropolis-Hastings sampling of paths

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 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

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

Frequency domain compensation of spurious sidebands in A/D circuits

Ali H. Sayed

In a non-ideal PLL circuit, leakage of the reference signal into the control line produces spurious tones. When the distorted PLL signal is used as a clock signal, it creates spurious tones in the sampled data. Our prior work used a training signal to esti ...

IEEE2011

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

Compressive Sampling of Multiple Sparse Signals Having Common Support Using Finite Rate of Innovation Principles

Martin Vetterli, Ali Hormati

In sensor networks and communication systems, one is often confronted with sampling multiple sparse signals having a common support set. Multipath channels in a multiple-input multiple-output (MIMO) wireless communication setting is an interesting example ...

Institute of Electrical and Electronics Engineers2011

Fast Computation of Small Cuts via Cycle Space Sampling

David Pritchard

We describe a new sampling-based method to determine cuts in an undirected graph. For a graph (V, E), its cycle space is the family of all subsets of E that have even degree at each vertex. We prove that with high probability, sampling the cycle space iden ...

2011

Implications for compressed sensing of a new sampling theorem on the sphere

Jean-Philippe Thiran, Pierre Vandergheynst, Dimitri Nestor Alice Van De Ville, Yves Wiaux, Gilles Puy, Jason Douglas McEwen

A sampling theorem on the sphere has been developed recently, requiring half as many samples as alternative equiangular sampling theorems on the sphere. A reduction by a factor of two in the number of samples required to represent a band-limited signal on ...

2011

Tomography-based determination of permeability and Dupuit-Forchheimer coefficient of characteristic snow samples

Sophia Haussener, Marc Schneebeli Zeugin, Aldo Steinfeld, Émilie Zermatten

A tomography-based methodology for the mass transport characterization of snow is presented. Five samples, characteristic for a wide range of seasonal snow, are considered. Their three-dimensional (3-D) geometrical representations are obtained by micro-com ...

International Glaciological Society2011

Survey sampling

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Metropolis-Hastings sampling of paths

Metropolis-Hastings sampling of paths

Metropolis-Hastings sampling of paths

Sampling Trajectories for Mobile Sensing

Frequency domain compensation of spurious sidebands in A/D circuits

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

Compressive Sampling of Multiple Sparse Signals Having Common Support Using Finite Rate of Innovation Principles

Fast Computation of Small Cuts via Cycle Space Sampling

Implications for compressed sensing of a new sampling theorem on the sphere

Tomography-based determination of permeability and Dupuit-Forchheimer coefficient of characteristic snow samples

Metropolis-Hastings sampling of paths

Fast Computation of Small Cuts via Cycle Space Sampling

Sampling Trajectories for Mobile Sensing

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

Compressive Sampling of Multiple Sparse Signals Having Common Support Using Finite Rate of Innovation Principles

Implications for compressed sensing of a new sampling theorem on the sphere

Tomography-based determination of permeability and Dupuit-Forchheimer coefficient of characteristic snow samples

Metropolis-Hastings sampling of paths

Metropolis-Hastings sampling of paths

Frequency domain compensation of spurious sidebands in A/D circuits