Publications related to Measuring the relative effect of factors affecting species distribution model predictions

Random sampling of bandlimited signals on graphs

Pierre Vandergheynst, Rémi Gribonval, Gilles Puy, Nicolas Tremblay

We study the problem of sampling

k

-bandlimited signals on graphs. We propose two sampling strategies that consist in selecting a small subset of nodes at random. The first strategy is non-adaptive, \ie, independent of the graph structure, and its perform ...

2015

Generalized Poisson Summation Formula for Tempered Distributions

Michaël Unser, Quy Ha Nguyen

The Poisson summation formula (PSF), which relates the sampling of an analog signal with the periodization of its Fourier transform, plays a key role in the classical sampling theory. In its current forms, the formula is only applicable to a limited class ...

IEEE2015

Optimizing a remotely sensed proxy for plankton biomass in Lake Kivu

Andrea Rinaldo, Enrico Bertuzzo, Lorenzo Mari, Allyn Christine Knox

Many regions of the world, including inland lakes, present with suboptimal conditions for the remotely sensed retrieval of optical signals, thus challenging the limits of available satellite data-processing tools, such as atmospheric correction models (ACM ...

Taylor & Francis2014

A preconditioned low-rank CG method for parameter-dependent Lyapunov matrix equations

Daniel Kressner, Christine Tobler

This paper is concerned with the numerical solution of symmetric large-scale Lyapunov equations with low-rank right-hand sides and coefficient matrices depending on a parameter. Specifically, we consider the situation when the parameter dependence is suffi ...

Wiley-Blackwell2013

Relatedness and scale dependency in very high resolution digital elevation models derivatives

Stéphane Joost, Kevin Leempoel

In the field of landscape genetics, environmental variables are needed to assess the influence of the environment on the spatial distribution of the genetic information of animals or plants. However, measuring variables (e.g. temperature, precipitation) at ...

Lulu.com2012

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

Samplinghelper a web-based tool to assess the reliability of sampling strategies in sewers and receiving waters

David Andrew Barry, Luca Rossi, Nathalie Chèvre Rossi

Sampling is a key step in the analysis of chemical compounds. It is particularly important in the environmental field, for example for wastewater effluents, wet-weather discharges or streams in which the flows and concentrations vary greatly over time. In ...

IWA Publishing2011

Hydrologic controls and anthropogenic drivers of the zebra mussel invasion of the Mississippi-Missouri river system

Andrea Rinaldo, Enrico Bertuzzo, Lorenzo Mari, Marino Gatto

We propose a novel ecohydrological model for the invasion of inland waters by the zebra mussel Dreissena polymorpha and test it against field data gathered within the Mississippi-Missouri river system in North America. This biological invasion poses major ...

American Geophysical Union2011

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

Non-linear interpolation and adaptive sampling of scattering parameters

Michael Mattes

The accurate and efficient sampling of scattering parameters is addressed. A popular sampling technique is the uniform sampling combined with a straight-line interpolation for representing the continuous variation of the observable. However, this sampling ...

2010

Measuring the relative effect of factors affecting species distribution model predictions

Graph Chatbot

Chat with Graph Search

Random sampling of bandlimited signals on graphs

Generalized Poisson Summation Formula for Tempered Distributions

Optimizing a remotely sensed proxy for plankton biomass in Lake Kivu

A preconditioned low-rank CG method for parameter-dependent Lyapunov matrix equations

Relatedness and scale dependency in very high resolution digital elevation models derivatives

Sampling and Reconstructing Diffusion Fields with Localized Sources

Samplinghelper a web-based tool to assess the reliability of sampling strategies in sewers and receiving waters

Hydrologic controls and anthropogenic drivers of the zebra mussel invasion of the Mississippi-Missouri river system

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

Non-linear interpolation and adaptive sampling of scattering parameters

Random sampling of bandlimited signals on graphs

Generalized Poisson Summation Formula for Tempered Distributions

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

Relatedness and scale dependency in very high resolution digital elevation models derivatives

Samplinghelper a web-based tool to assess the reliability of sampling strategies in sewers and receiving waters

Sampling and Reconstructing Diffusion Fields with Localized Sources

Non-linear interpolation and adaptive sampling of scattering parameters

Optimizing a remotely sensed proxy for plankton biomass in Lake Kivu

A preconditioned low-rank CG method for parameter-dependent Lyapunov matrix equations

Hydrologic controls and anthropogenic drivers of the zebra mussel invasion of the Mississippi-Missouri river system