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Non-linear interpolation and adaptive sampling of scattering parameters

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Network Design via Core Detouring for Problems Without a Core

Thomas Rothvoss

Some of the currently best-known approximation algorithms for network design are based on random sampling. One of the key steps of such algorithms is connecting a set of source nodes to a random subset of them. In a recent work [Eisenbrand,Grandoni,Rothvo\ ...

Springer2010

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

Sampling of Alternatives for Route Choice Modeling

Michel Bierlaire, Emma Frejinger

This paper presents a new paradigm for choice set generation in the context of route choice model estimation. We assume that the choice sets contain all paths connecting each origin-destination pair. Although this is behaviorally questionable, we make this ...

2009

Distributed Sensing of Signals under a Sparse Filtering Model

Martin Vetterli, Olivier Roy, Yue Lu, Ali Hormati

We consider the task of recovering correlated vectors at a central decoder based on fixed linear measurements obtained by distributed sensors. Two different scenarios are considered: In the case of universal reconstruction, we look for a sensing and recove ...

2009

Estimating Physical Parameters in a Diffusive Field

Reza Parhizkar

In the recent researches, some methods have been proposed for interpolating the diffusive field values along space, but they either do not use point-wise sampling or deploy large number of sensors in space to keep themselves near Niquist’s sampling rate. I ...

2008

Halton Sampling for Image Registration Based on Mutual Information

Michel Bierlaire, Michaël Unser, Philippe Thévenaz

Mutual information is a widely used similarity measure for aligning multimodal medical images. At its core it relies on the computation of a discrete joint histogram, which itself requires image samples for its estimation. In this paper we study the influe ...

Sampling Publishing2008

Efficient Product Importance Sampling using Hierarchical Thresholding

We present an efficient method for importance sampling the product of multiple functions. Our algorithm computes a quick approximation of the product on-the-fly, based on hierarchical representations of the Local maxima and averages of the individual terms ...

2008

A multi target bearing tracking system using random sampling consensus

Volkan Cevher

In this paper, we present an acoustic direction-of-arrival (DOA) tracking system to track multiple maneuvering targets using a state space approach. The system consists of three blocks: beamformer, random sampling, and particle filter. The beamformer block ...

2007

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