Interpolation between multi-dimensional histograms using a new non-linear moment morphing methodA prescription is presented for the interpolation between multi-dimensional distribution templates based on one or multiple model parameters. The technique uses a linear combination of templates,…Max Baak, Stefan Gadatsch, Robert Harrington et al.·Oct 27, 2014SaveLearn
SPIKY: A graphical user interface for monitoring spike train synchronyTechniques for recording large-scale neuronal spiking activity are developing very fast. This leads to an increasing demand for algorithms capable of analyzing large amounts of experimental spike…Thomas Kreuz, Mario Mulansky, Nebojsa Bozanic·Oct 25, 2014SaveLearn
Data Assimilation of Satellite Fire Detection in Coupled Atmosphere-Fire Simulation by WRF-SFIRECurrently available satellite active fire detection products from the VIIRS and MODIS instruments on polar-orbiting satellites produce detection squares in arbitrary locations. There is no global…Jan Mandel, Adam K. Kochanski, Martin Vejmelka et al.·Oct 25, 2014SaveLearn
Automatic fault detection on BIPV systems without solar irradiation dataBIPV systems are small PV generation units spread out over the territory, and whose characteristics are very diverse. This makes difficult a cost-effective procedure for monitoring, fault detection,…Jonathan Leloux, Luis Narvarte, Alberto Luna et al.·Oct 25, 2014SaveLearn
Signal inference with unknown response: Calibration-uncertainty renormalized estimatorThe calibration of a measurement device is crucial for every scientific experiment, where a signal has to be inferred from data. We present CURE, the calibration uncertainty renormalized estimator,…Sebastian Dorn, Torsten A. Enßlin, Maksim Greiner et al.·Oct 23, 2014SaveLearn
The perils of thresholdingThe thresholding of time series of activity or intensity is frequently used to define and differentiate events. This is either implicit, for example due to resolution limits, or explicit, in order to…Francesc Font-Clos, Gunnar Pruessner, Anna Deluca et al.·Oct 22, 2014SaveLearn
Bayesian estimation of the multifractality parameter for image texture using a Whittle approximationTexture characterization is a central element in many image processing applications. Multifractal analysis is a useful signal and image processing tool, yet, the accurate estimation of multifractal…Sébastien Combrexelle, Herwig Wendt, Nicolas Dobigeon et al.·Oct 17, 2014SaveLearn
Heuristic algorithm for 1D and 2D unfoldingA very simple heuristic approach to the unfolding problem will be described. An iterative algorithm starts with an empty histogram and every iteration aims to add one entry to this histogram. The…Yordan Karadzhov·Oct 17, 2014SaveLearn
Unified Description of Efficiency Correction and Error Estimation for Moments of Conserved Quantities in Heavy-Ion CollisionsWe provide a unified description of efficiency correction and error estimation for moments of conserved quantifies in heavy-ion collisions. Moments and cumulants are expressed in terms of the…Xiaofeng Luo·Oct 15, 2014SaveLearn
Whole fusion-fission process with Langevin approach and compared with analytical solution for barrier passageWe investigate time-dependent probability for a Brownian particle passing over the barrier to stay at a metastable potential pocket against escaping over the barrier. This is related to whole…Jie Han, Jing-Dong Bao·Oct 10, 2014SaveLearn
Densities mixture unfolding for data obtained from detectors with finite resolution and limited acceptanceA procedure based on a Mixture Density Model for correcting experimental data for distortions due to finite resolution and limited detector acceptance is presented. Addressing the case that the…Nikolai Gagunashvili·Oct 6, 2014SaveLearn
Rising Above Chaotic LikelihoodsBerliner (Likelihood and Bayesian prediction for chaotic systems, J. Am. Stat. Assoc. 1991) identified a number of difficulties in using the likelihood function within the Bayesian paradigm which…Hailiang Du, Leonard A. Smith·Oct 6, 2014SaveLearn
AMGKQ: An Efficient Implementation of Adaptive Multivariate Gauss-Kronrod Quadrature for Simultaneous Integrands in Octave/MATLABThe algorithm AMGKQ for adaptive multivariate Gauss-Kronrod quadrature over hyper-rectangular regions of arbitrary dimensionality is proposed and implemented in Octave/MATLAB. It can approximate…Robert W. Johnson·Oct 4, 2014SaveLearn
Noise in oscillators: a review of state space decomposition approachesWe review the state space decomposition techniques for the assessment of the noise properties of autonomous oscillators, a topic of great practical and theoretical importance for many applications in…Fabio L. Traversa, Michele Bonnin, Fernando Corinto et al.·Oct 3, 2014SaveLearn
Pedestrian Flow Simulation Validation and Verification TechniquesFor the verification and validation of microscopic simulation models of pedestrian flow, we have performed experiments for different kind of facilities and sites where most conflicts and congestion…Mohamed H. Dridi·Oct 2, 2014SaveLearn
Fluctuation scaling in neural spike trainsFluctuation scaling has been observed universally in a wide variety of phenomena. In time series that describe sequences of events, fluctuation scaling is expressed as power function relationships…Shinsuke Koyama, Ryota Kobayashi·Sep 24, 2014SaveLearn
Finite sample properties of power-law cross-correlations estimatorsWe study finite sample properties of estimators of power-law cross-correlations -- detrended cross-correlation analysis (DCCA), height cross-correlation analysis (HXA) and detrending moving-average…Ladislav Kristoufek·Sep 24, 2014SaveLearn
Information topology identifies emergent model classesWe develop a language for describing the relationship among observations, mathematical models, and the underlying principles from which they are derived. Using Information Geometry, we consider…Mark K. Transtrum, Gus Hart, Peng Qiu·Sep 22, 2014SaveLearn
Statistics of the electromagnetic response of a chaotic reverberation chamberThis article presents a study of the electromagnetic response of a chaotic reverberation chamber (RC) in the presence of losses. By means of simulations and of experiments, the fluctuations in the…J. -B. Gros, U. Kuhl, O. Legrand et al.·Sep 20, 2014SaveLearn
JFIT: a framework to obtain combined experimental results through joint fitsA master-worker architecture is presented for obtaining combined experimental results through joint fits of datasets from several experiments. The design of the architecture allows such joint fits to…Eli Ben-Haim, René Brun, Bertrand Echenard et al.·Sep 17, 2014SaveLearn
Compressive Earth Observatory: An Insight from AIRS/AMSU RetrievalsWe demonstrate that the global fields of temperature, humidity and geopotential heights admit a nearly sparse representation in the wavelet domain, offering a viable path forward to explore new…Ardeshir Mohammad Ebtehaj, Efi Foufoula-Georgiou, Gilad Lerman et al.·Sep 17, 2014SaveLearn
Compression and Encryption of Search Survey Gamma Spectra using Compressive SensingWe have investigated the application of Compressive Sensing (CS) computational method to simultaneous compression and encryption of gamma spectra measured with NaI(Tl) detector during wide area…Alexander Heifetz, Sasan Bakhtiari, Apostolos C. Raptis·Sep 16, 2014SaveLearn
Validation of Danish wind time series from a new global renewable energy atlas for energy system analysisWe present a new high-resolution global renewable energy atlas (REatlas) that can be used to calculate customised hourly time series of wind and solar PV power generation. In this paper, the atlas…Gorm Bruun Andresen, Anders Aspegren Søndergaard, Martin Greiner·Sep 11, 2014SaveLearn
Monofractal nature of air temperature signals reveals their climate variabilityWe use the discrete "wavelet transform microscope" to show that the surface air temperature signals of weather stations selected in Europe are monofractal. This study reveals that the…Adrien Deliège, Samuel Nicolay·Sep 11, 2014SaveLearn
Analyzing long-term correlated stochastic processes by means of recurrence networks: Potentials and pitfallsLong-range correlated processes are ubiquitous, ranging from climate variables to financial time series. One paradigmatic example for such processes is fractional Brownian motion (fBm). In this work,…Yong Zou, Reik V. Donner, Jürgen Kurths·Sep 11, 2014SaveLearn