Publications related to Sampling methods for parametric non-bandlimited signals

Wire EDM Monitoring for Zero-Defect Manufacturing based on Advanced Sensor Signal Processing

In the framework of zero-defect manufacturing, an advanced sensor monitoring procedure aimed at detecting the process conditions leading to surface defects in Wire Electrical Discharge Machining (WEDM) is proposed. WEDM experimental tests were carried out ...

Elsevier Science Bv2015

Sampling based on timing: Time encoding machines on shift-invariant subspaces

Martin Vetterli, David Gontier

Sampling information using timing is an approach that has received renewed attention in sampling theory. The question is how to map amplitude information into the timing domain. One such encoder, called time encoding machine, was introduced by Lazar and To ...

Elsevier2014

Subsampling as an economic consequence of using whole genome sequence data in landscape genomics: how to maximize environmental information from a reduced number of locations?

Stéphane Joost, Sylvie Stucki, Kevin Leempoel

The recent availability of whole genome sequence (WGS) data implies to reconsider sampling strategies in landscape genomics for economic reasons. Indeed, while we had many individuals and few genetic markers ten years ago, we now face the contrary with hig ...

2014

Measuring the relative effect of factors affecting species distribution model predictions

Anthony Christopher Davison, Emeric Rolland Georges Thibaud

Species distribution models are increasingly used to address conservation questions, so their predictive capacity requires careful evaluation. Previous studies have shown how individual factors used in model construction can affect prediction. Although som ...

Wiley-Blackwell2014

A comparative study of the harmonic balance method and the orthogonal collocation method on stiff nonlinear systems

Sami Driss Karkar

The high-order purely frequency-based harmonic balance method (HBM) presented by Cochelin and Vergez (2009) [1] and extended by Karkar et al. (2013) [2] now allows to follow the periodic solutions of regularized non-smooth systems (stiff systems). This pap ...

Elsevier2014

Linear Bayesian Reinforcement Learning

Christos Dimitrakakis, Nikolaos Tziortziotis

This paper proposes a simple linear Bayesian approach to reinforcement learning. We show that with an appropriate basis, a Bayesian linear Gaussian model is sufficient for accurately estimating the system dynamics, and in particular when we allow for corre ...

2013

Sampling High-Dimensional Bandlimited Fields on Low-Dimensional Manifolds

Martin Vetterli, Jayakrishnan Unnikrishnan

Consider the task of sampling and reconstructing a bandlimited spatial field in

\Re^2

using moving sensors that take measurements along their path. It is inexpensive to increase the sampling rate along the paths of the sensors but more expensive to incre ...

Institute of Electrical and Electronics Engineers2013

Multisensor Change Detection with Nonlinear Canonical Correlation

Devis Tuia, Frank Grégoire Jean de Morsier

The analysis of multi-modal and multi-sensor images is nowadays of paramount importance for Earth Observation (EO) applications. There exist a variety of methods that aim at fusing the different sources of information to obtain a compact representation of ...

2013

Assessment of Ecological Importance and Anthropogenic Change of Subaquatic Springs in Ancient Lake Ohrid

Alfred Johny Wüest

Apart from their contribution in the water balance of Lake Ohrid, Republic of Macedonia, subaquatic springs are also expected to affect the water quality. A simple experiment was developed and applied to subaquatic spring in Kališta region (south-east of K ...

2013

Mitigation of clipping in sensors

Ali H. Sayed

One major source of nonlinear distortion in analog-to-digital converters (ADCs) is clipping. The problem introduces spurious noise across the bandwidth of the sampled data. Prior works recover the signal from the acquired samples by relying on oversampling ...

IEEE2013

Sampling methods for parametric non-bandlimited signals

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Wire EDM Monitoring for Zero-Defect Manufacturing based on Advanced Sensor Signal Processing

Sampling based on timing: Time encoding machines on shift-invariant subspaces

Subsampling as an economic consequence of using whole genome sequence data in landscape genomics: how to maximize environmental information from a reduced number of locations?

Measuring the relative effect of factors affecting species distribution model predictions

A comparative study of the harmonic balance method and the orthogonal collocation method on stiff nonlinear systems

Linear Bayesian Reinforcement Learning

Sampling High-Dimensional Bandlimited Fields on Low-Dimensional Manifolds

Multisensor Change Detection with Nonlinear Canonical Correlation

Assessment of Ecological Importance and Anthropogenic Change of Subaquatic Springs in Ancient Lake Ohrid

Mitigation of clipping in sensors

Linear Bayesian Reinforcement Learning

Subsampling as an economic consequence of using whole genome sequence data in landscape genomics: how to maximize environmental information from a reduced number of locations?

Sampling High-Dimensional Bandlimited Fields on Low-Dimensional Manifolds

Sampling based on timing: Time encoding machines on shift-invariant subspaces

Wire EDM Monitoring for Zero-Defect Manufacturing based on Advanced Sensor Signal Processing

A comparative study of the harmonic balance method and the orthogonal collocation method on stiff nonlinear systems

Multisensor Change Detection with Nonlinear Canonical Correlation

Measuring the relative effect of factors affecting species distribution model predictions

Mitigation of clipping in sensors

Assessment of Ecological Importance and Anthropogenic Change of Subaquatic Springs in Ancient Lake Ohrid