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Tavernier F.,Kasteelpark Arenberg 10 | Steyaert M.,Kasteelpark Arenberg 10
Analog Integrated Circuits and Signal Processing | Year: 2011

A new TIA topology with enhanced bandwidth is presented in this paper. By adding an extra capacitive feedback loop to the resistive feedback TIA, bandwidth and sensitivity are increased without sacrificing the low power consumption. It is shown that this topology is superior to the self-compensated TIA when the photodiode is integrated on the same die as the TIA. An implementation is presented that boosts the bandwidth by a factor of 9 and reduces the noise by a factor of 4.2 for a photodiode capacitance of 106 pF, the parasitic capacitance of a POF-compliant 1 mm integrated photodiode in 130 nm CMOS. © 2010 Springer Science+Business Media, LLC. Source

Van Breussegem T.,Kasteelpark Arenberg 10 | Steyaert M.,Kasteelpark Arenberg 10
Analog Integrated Circuits and Signal Processing | Year: 2012

Contemporary models fail to include the influence of the output buffer capacitor size on the performance of capacitive DC-DC converters. This letter examines the relevance of this dependency and shows how to adapt existing models in order to include it. The improved model is verified mathematically for down-converters, by means of Spice simulations and based on measurements of silicon integrated prototypes. Measurements demonstrate an accuracy improvement of up to 30 % compared with the conventional model. © 2012 Springer Science+Business Media, LLC. Source

Langone R.,Kasteelpark Arenberg 10 | Suykens J.A.K.,Kasteelpark Arenberg 10
Journal of Physics: Conference Series | Year: 2013

This work is related to the problem of community detection in dynamic scenarios, which for instance arises in the segmentation of moving objects, clustering of telephone traffic data, time-series micro-array data etc. A desirable feature of a clustering model which has to capture the evolution of communities over time is the temporal smoothness between clusters in successive time-steps. In this way the model is able to track the long-term trend and in the same time it smooths out short-term variation due to noise. We use the Kernel Spectral Clustering with Memory effect (MKSC) which allows to predict cluster memberships of new nodes via out-of-sample extension and has a proper model selection scheme. It is based on a constrained optimization formulation typical of Least Squares Support Vector Machines (LS-SVM), where the objective function is designed to explicitly incorporate temporal smoothness as a valid prior knowledge. The latter, in fact, allows the model to cluster the current data well and to be consistent with the recent history. Here we propose a generalization of the MKSC model with an arbitrary memory, not only one time-step in the past. The experiments conducted on toy problems confirm our expectations: the more memory we add to the model, the smoother over time are the clustering results. We also compare with the Evolutionary Spectral Clustering (ESC) algorithm which is a state-of-the art method, and we obtain comparable or better results. © Published under licence by IOP Publishing Ltd. Source

Seslija M.,Kasteelpark Arenberg 10 | Scherpen J.M.A.,University of Groningen | Van Der Schaft A.,University of Groningen
Automatica | Year: 2014

Simplicial Dirac structures as finite analogues of the canonical Stokes-Dirac structure, capturing the topological laws of the system, are defined on simplicial manifolds in terms of primal and dual cochains related by the coboundary operators. These finite-dimensional Dirac structures offer a framework for the formulation of standard input-output finite-dimensional port-Hamiltonian systems that emulate the behavior of distributed-parameter port-Hamiltonian systems. This paper elaborates on the matrix representations of simplicial Dirac structures and the resulting port-Hamiltonian systems on simplicial manifolds. Employing these representations, we consider the existence of structural invariants and demonstrate how they pertain to the energy shaping of port-Hamiltonian systems on simplicial manifolds. © 2013 Elsevier Ltd. All rights reserved. Source

Seslija M.,Kasteelpark Arenberg 10 | Van Der Schaft A.,University of Groningen | Scherpen J.M.A.,University of Groningen
Automatica | Year: 2014

Inspired by the recent developments in modeling and analysis of reaction networks, we provide a geometric formulation of the reversible reaction networks under the influence of diffusion. Using the graph knowledge of the underlying reaction network, the obtained reaction-diffusion system is a distributed-parameter port-Hamiltonian system on a compact spatial domain. Motivated by the need for computer-based design, we offer a spatially consistent discretization of the PDE system and, in a systematic manner, recover a compartmental ODE model on a simplicial triangulation of the spatial domain. Exploring the properties of a balanced weighted Laplacian matrix of the reaction network and the Laplacian of the simplicial complex, we characterize the space of equilibrium points and provide a simple stability analysis on the state space modulo the space of equilibrium points. The paper rules out the possibility of the persistence of spatial patterns for the compartmental balanced reaction-diffusion networks. © 2014 Elsevier Ltd. All rights reserved. Source

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