Superposition of similar single-sided RTN processes and 1/f noiseIn this paper it is demonstrated that a 1/f power spectrum appears in the process originated by the superposition of many similar single-sided RTN processes with the same relaxation time. The…Giovanni Zanella·Apr 23, 2005SaveLearn
Delay-Coordinates Embeddings as a Data Mining Tool for Denoising Speech SignalsIn this paper we utilize techniques from the theory of non-linear dynamical systems to define a notion of embedding threshold estimators. More specifically we use delay-coordinates embeddings of sets…D. Napoletani, C. A. Berenstein, T. Sauer et al.·Apr 21, 2005SaveLearn
Two-Scale Kirchhoff Theory: Comparison of Experimental Observations With Theoretical PredictionWe introduce a non-perturbative two scale Kirchhoff theory, in the context of light scattering by a rough surface. This is a two scale theory which considers the roughness both in the wavelength…G. R. Jafari, P. Kaghazchi, R. S. Dariani et al.·Apr 21, 2005SaveLearn
Levy statistical fluctuations from a Random Amplifying MediumWe report the studies of emission from a novel random amplifying medium that we term a ``Levy Laser'' due to the non-Gaussian statistical nature of its emission over the ensemble of random…Divya Sharma, Hema Ramachandran, N. Kumar·Mar 8, 2005SaveLearn
Recurrence time analysis, long-term correlations, and extreme eventsThe recurrence times between extreme events have been the central point of statistical analyses in many different areas of science. Simultaneously, the Poincaré recurrence time has been extensively…Eduardo G. Altmann, Holger Kantz·Mar 8, 2005SaveLearn
Simultaneous Least Squares Treatment of Statistical and Systematic UncertaintiesWe present a least squares method for estimating parameters from measurements of event yields in the presence of background and crossfeed. We adopt a unified approach to incorporating the statistical…Werner M. Sun·Mar 7, 2005SaveLearn
Nonlinear Statistical Modelling and Model Discovery for Cardiorespiratory DataWe present a Bayesian dynamical inference method for characterizing cardiorespiratory (CR) dynamics in humans by inverse modelling from blood pressure time-series data. This new method is applicable…D. G. Luchinsky, V. N. Smelyanskiy, M. M. Millonas et al.·Mar 7, 2005SaveLearn
Inference of a nonlinear stochastic model of the cardiorespiratory interactionA new technique is introduced to reconstruct a nonlinear stochastic model of the cardiorespiratory interaction. Its inferential framework uses a set of polynomial basis functions representing the…V. N. Smelyanskiy, D. G. Luchinsky, A. Stefanovska et al.·Mar 4, 2005SaveLearn
Finding local community structure in networksAlthough the inference of global community structure in networks has recently become a topic of great interest in the physics community, all such algorithms require that the graph be completely…Aaron Clauset·Mar 4, 2005SaveLearn
Why does the Standard GARCH(1,1) model work well?The AutoRegressive Conditional Heteroskedasticity (ARCH) and its generalized version (GARCH) family of models have grown to encompass a wide range of specifications, each of them is designed to…G. R. Jafari, A. Bahraminasab, P. Norouzzadeh·Mar 3, 2005SaveLearn
Review of Nonlinear Methods and ModellingThe first part of this Review describes a few of the main methods that have been employed in non-linear time series analysis with special reference to biological applications (biomechanics). The…Frank G. Borg·Mar 3, 2005SaveLearn
An Iterative Procedure for the Estimation of Drift and Diffusion Coefficients of Langevin ProcessesA general method is proposed which allows one to estimate drift and diffusion coefficients of a stochastic process governed by a Langevin equation. It extends a previously devised approach [R.…D. Kleinhans, R. Friedrich, A. Nawroth et al.·Feb 28, 2005SaveLearn
A Multifractal Detrended Fluctuation Description of Iranian Rial-US Dollar Exchange RateThe miltifractal properties and scaling behaviour of the exchange rate variations of the Iranian rial against the US dollar from a daily perspective is numerically investigated. For this purpose the…P. Norouzzadeh·Feb 27, 2005SaveLearn
Late-Night Thoughts About the Significance of a Small Count of Nuclear or Particle EventsReconciliation of frequentist and Bayesian approaches to elementary treatment of data in nuclear and particle physics is attempted. Unique procedure to express the significance of a small count in…Ivan V. Anicin·Feb 25, 2005SaveLearn
From Observations to Hypotheses: Probabilistic Reasoning Versus Falsificationism and its Statistical VariationsTesting hypotheses is an issue of primary importance in the scientific research, as well as in many other human activities. Much clarification about it can be achieved if the process of learning from…G. D'Agostini·Feb 19, 2005SaveLearn
A novel String Banana Template Method for Tracks Reconstruction in High Multiplicity Events with significant Multiple Scattering and its Firmware ImplementationNovel String Banana Template Method (SBTM) for track reconstruction in difficult conditions is proposed and implemented for off-line analysis of relativistic heavy ion collision events. The main idea…P. Kulinich, S. Basilev, V. Krylov·Feb 13, 2005SaveLearn
Novel String Banana Template Method of Track Reconstruction for high Multiplicity Events with Significant Multiple ScatteringNovel String Banana Template Method (SBTM) for track reconstruction in high multiplicity events in non-uniform magnetic field spectrometer with emphasis on the lowest momenta tracks with significant…P. Kulinich·Feb 11, 2005SaveLearn
Recurrence plot statistics and the effect of embeddingRecurrence plots provide a graphical representation of the recurrent patterns in a timeseries, the quantification of which is a relatively new field. Here we derive analytical expressions which…T. K. March, S. C. Chapman, R. O. Dendy·Feb 9, 2005SaveLearn
Performance of an Operating High Energy Physics Data Grid: D0SAR-GridThe D0 experiment at Fermilab's Tevatron will record several petabytes of data over the next five years in pursuing the goals of understanding nature and searching for the origin of mass. Computing…B. Abbott, P. Baringer, T. Bolton et al.·Jan 31, 2005SaveLearn
Natural entropy fluctuations discriminate similar looking electric signals emitted from systems of different dynamicsComplexity measures are introduced, that quantify the change of the natural entropy fluctuations at different length scales in time-series emitted from systems operating far from equilibrium. They…P. A. Varotsos, N. V. Sarlis, E. S. Skordas et al.·Jan 21, 2005SaveLearn
Entropy in the natural time-domainA surrogate data analysis is presented, which is based on the fluctuations of the ``entropy'' S defined in the natural time-domain [Phys. Rev. E 68, 031106, 2003]. This entropy is not…P. A. Varotsos, N. V. Sarlis, E. S. Skordas et al.·Jan 21, 2005SaveLearn
Wavelet entropy and fractional Brownian motion time seriesWe study the functional link between the Hurst parameter and the Normalized Total Wavelet Entropy when analyzing fractional Brownian motion (fBm) time series--these series are synthetically…Dario G. Perez, Luciano Zunino, Mario Garavaglia et al.·Jan 19, 2005SaveLearn
A Bayesian Estimator for Linear Calibration Error Effects in Thermal Remote SensingThe Bayesian Land Surface Temperature estimator previously developed has been extended to include the effects of imperfectly known gain and offset calibration errors. It is possible to treat both…J. A. Morgan·Jan 17, 2005SaveLearn
The effect of increasing the rate of repetitions of classical reactionsUsing quantum theory operator methods we discuss the general reversible reactions A1+A2+... Ar B1+B2+... +Bs, where r and s are arbitrary natural positive numbers. We show…D. Bar·Jan 16, 2005SaveLearn
A New Algorithm to Smooth Quantization ErrorsWe have devised a simple numerical technique to treat rugged data points that arise due to the insufficient gain setting error (or quantization error) of a digital instrument. This is a very wide…Ayan Paul, P. K. Mukhopadhyay·Jan 4, 2005SaveLearn