Non-Gaussianity effect of petrophysical quantities by using q-entropy and multi fractal random walkThe geological systems such as petroleum reservoirs is investigated by the entropy introduced by Tsallis and multiplicative hierarchical cascade model. When non-Gaussianity appears, it is sign of…Z. Koohi lai, S. Vasheghani Farahani, G. R. Jafari·Jan 20, 2013SaveLearn
New program with new approach for spectral data analysisThis article presents a high-throughput computer program, called EasyDD, for batch processing, analyzing and visualizing of spectral data; particularly those related to the new generation of…Taha Sochi·Jan 19, 2013SaveLearn
Information-related complexity: a problem-oriented approachA general notion of information-related complexity applicable to both natural and man-made systems is proposed. The overall approach is to explicitly consider a rational agent performing a certain…Eugene Perevalov, David Grace·Jan 17, 2013SaveLearn
On sampling and modeling complex systemsThe study of complex systems is limited by the fact that only few variables are accessible for modeling and sampling, which are not necessarily the most relevant ones to explain the systems behavior.…Matteo Marsili, Iacopo Mastromatteo, Yasser Roudi·Jan 16, 2013SaveLearn
Escape Time Characterization of Pendular Fabry-PerotWe show that an escape from the potential minimum of Fabry-Perot interferometers can be detected measuring the associated sudden change of reflectivity. We demonstrate that the loss of information…P. Addesso, V. Pierro, G. Filatrella·Jan 12, 2013SaveLearn
Extension of ITU IMT-A Channel Models for Elevation Domains and Line-of-Sight ScenariosIn this contribution, the 3-dimensional (3D) channel characteristics, particularly in the elevation domains, are extracted through measurements in typical urban macro and micro environments in…Zhimeng Zhong, Xuefeng Yin, Xin Li et al.·Jan 11, 2013SaveLearn
Penalized Splines for Smooth Representation of High-dimensional Monte Carlo DatasetsDetector response to a high-energy physics process is often estimated by Monte Carlo simulation. For purposes of data analysis, the results of this simulation are typically stored in large…Nathan Whitehorn, Jakob van Santen, Sven Lafebre·Jan 10, 2013SaveLearn
Towards the full information chain theory: expected loss and information relevanceWhen additional information sources are available, an important question for an agent solving a certain problem is how to optimally use the information the sources are capable of providing. A…Eugene Perevalov, David Grace·Jan 10, 2013SaveLearn
An Evidential Interpretation of the 1st and 2nd Laws of ThermodynamicsI argue here that both the first and second laws of thermodynamics, generally understood to be quintessentially physical in nature, can be equally well described as being about certain types of…V. J. Vieland·Jan 9, 2013SaveLearn
The detection of signals buried in noiseThis paper examines signal detection in the presence of noise, with a particular emphasis to the nuclear activation analysis. The problem is to decide what between the signal-plus-background and…Luigi Bergamaschi, Giancarlo D'Agostino, Laura Giordani et al.·Jan 8, 2013SaveLearn
Classification of missing values in spatial data using spin modelsA problem of current interest is the estimation of spatially distributed processes at locations where measurements are missing. Linear interpolation methods rely on the Gaussian assumption, which is…Milan Žukovič, Dionissios T. Hristopulos·Jan 8, 2013SaveLearn
Bayes and Frequentism: a Particle Physicist's perspectiveIn almost every scientific field, an experiment involves collecting data and then analysing it. The analysis stage will often consist in trying to extract some physical parameter and estimating its…Louis Lyons·Jan 7, 2013SaveLearn
Effective number of samples and pseudo-random nonlinear distortions in digital OFDM coded signalThis paper concerns theoretical modeling of degradation of signal with OFDM coding caused by pseudo-random nonlinear distortions introduced by an analog-to-digital or digital-to-analog converter. A…Adam Rudziński·Jan 6, 2013SaveLearn
Network representation of cardiac interbeat intervals for monitoring restitution of autonomic control for heart transplant patientsThe aim is to present the ability of a network of transitions as a nonlinear tool providing a graphical representation of a time series. This representation is used for cardiac RR-intervals in…Danuta Makowiec, Stanisław Kryszewski, Beata Graff et al.·Jan 6, 2013SaveLearn
Multifractal age? Multifractal analysis of cardiac interbeat intervals in assessing of healthy aging24-hour Holter recordings of 124 healthy people at different age are studied. The nocturnal signals of young people reveal the presence of the multiplicative structure. This structure is…Danuta Makowiec, Stanisaw Kryszewski, Joanna Wdowczyk-Szulc et al.·Jan 6, 2013SaveLearn
Coupling between time series: a network viewRecently, the visibility graph has been introduced as a novel view for analyzing time series, which maps it to a complex network. In this paper, we introduce new algorithm of visibility,…Saeed Mehraban, Amirhossein Shirazi, Maryam Zamani et al.·Jan 6, 2013SaveLearn
Geometric detection of coupling directions by means of inter-system recurrence networksWe introduce a geometric method for identifying the coupling direction between two dynamical systems based on a bivariate extension of recurrence network analysis. Global characteristics of the…Jan H. Feldhoff, Reik V. Donner, Jonathan F. Donges et al.·Jan 5, 2013SaveLearn
Deux approches differentes dans l'evaluation analytique du potentiel endommageant des tremblements de terre: application et validation pour les forts seismes de Vrancea, RoumanieThe paper presents a comparison between the results of the analytical assessments of the damage potential of seismic ground motions, based on two different parameters: the Park-Ang damage index and…Iolanda-Gabriela Craifaleanu, Ioan Sorin Borcia·Jan 5, 2013SaveLearn
Markov Chain Order estimation with Conditional Mutual InformationWe introduce the Conditional Mutual Information (CMI) for the estimation of the Markov chain order. For a Markov chain of K symbols, we define CMI of order m, Ic(m), as the mutual information…Maria Papapetrou, Dimitris Kugiumtzis·Jan 1, 2013SaveLearn
Entropic Inference: some pitfalls and paradoxes we can avoidThe method of maximum entropy has been very successful but there are cases where it has either failed or led to paradoxes that have cast doubt on its general legitimacy. My more optimistic assessment…Ariel Caticha·Dec 31, 2012SaveLearn
Optimal estimation of free energies and stationary densities from multiple biased simulationsWhen studying high-dimensional dynamical systems such as macromolecules, quantum systems and polymers, a prime concern is the identification of the most probable states and their stationary…Hao Wu, Frank Noé·Dec 30, 2012SaveLearn
Evaluating strong measurement noise in data series with simulated annealing methodMany stochastic time series can be described by a Langevin equation composed of a deterministic and a stochastic dynamical part. Such a stochastic process can be reconstructed by means of a recently…J. Carvalho, F. Raischel, M. Haase et al.·Dec 27, 2012SaveLearn
Maxallent: Maximizers of all Entropies and Uncertainty of UncertaintyThe entropy maximum approach (Maxent) was developed as a minimization of the subjective uncertainty measured by the Boltzmann--Gibbs--Shannon entropy. Many new entropies have been invented in the…A. N. Gorban·Dec 20, 2012SaveLearn
On the scaling range of power-laws originated from fluctuation analysisWe extend our previous study of scaling range properties done for detrended fluctuation analysis (DFA) formerpaper to other techniques of fluctuation analysis (FA). The new technique called…Grech Dariusz, Mazur Zygmunt·Dec 20, 2012SaveLearn
Parsimonious module inference in large networksWe investigate the detectability of modules in large networks when the number of modules is not known in advance. We employ the minimum description length (MDL) principle which seeks to minimize the…Tiago P. Peixoto·Dec 19, 2012SaveLearn