Cumulant analysis in two-color fluorescence fluctuation.
The analysis of temperature-dependent EXAFS spectra based on the cumulant expansion is critically reviewed, seeking for accurate relations between EXAFS parameters and physical properties of crystals. The treatment is based on the distinction between the real and effective distribution of distances, and is divided into three logical steps. (a) The connection between lattice dynamics and.
Anisotropic flow measurements in heavy-ion collisions provide important information on the properties of hot and dense matter. These measurements are based on analysis of azimuthal correlations and might be biased by contributions from correlations that are not related to the initial geometry, so called non-flow. To improve anisotropic flow measurements advanced methods based on multi-particle.
Abstract: This paper uses the optimal probabilistic load flow method for power containing wind farm analysis. Based on Computation of optimal load flow using the Interior point method ,considering the stochasticlal power output of wind generator and the random outage of synchronous generator and the stochastic of load power, calculating the probability distribution of branch power flow and.
In a cumulant analysis fit a subset of the correlation function, starting from the leftmost channels, is fitted against a simplified model for the correlation function. Such simplified model is asymptotically valid for narrow particle size distributions (PSD) and for short lag times and is expressed as follows.
It’s an inexorable trend that probabilistic power flow calculation shifts from offline analysis to real-time operation online. Among all probabilistic trend algorithms, probability flow calculation based on cumulant method is the fastest one; it has better prospect of online application.
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The cumulant analysis plays an important role in non Gaussian distributed data analysis. The shares’ prices returns are good example of such data. The purpose of this research is to develop the cumulant based algorithm and use it to determine eigenvectors that represent investment portfolios with low variability. Such algorithm is based on the Alternating Least Square method and involves the.
Abstract This paper analyzes applications of cumulant analysis in speech processing. The main focus is made on an integral representation for cumulants using integrals involving cyclic products of kernels. These integrals serve as a tool for statistical analysis of different statistics appearing in speech processing and speech recognition.
This study proposes a novel framework based on magnitude cumulant and surrogate analyses to reliably detect and estimate the intermittency coefficient from short-length coarse-resolution turbulent time series. Intermittency coefficients estimated from a large number of neutrally stratified atmospheric surface layer turbulent series from various field campaigns are shown to remarkably concur.
Downloadable! The cumulant analysis plays an important role in non Gaussian distributed data analysis. The shares' prices returns are good example of such data. The purpose of this research is to develop the cumulant based algorithm and use it to determine eigenvectors that represent investment portfolios with low variability. Such algorithm is based on the Alternating Least Square method and.
The analysis of temperature-dependent EXAFS spectra based on the cumulant expansion is critically reviewed, seeking for accurate relations between EXAFS parameters and physical properties of.
Common cause outage is also considered in power system reliability evaluation (15). Power system reliability evaluation and quality assessment using fuzzy logic and genetic algorithm are depicted in (16) and (17), respectively. Cumulant method, a very fast computational technique is used to evaluate the reliability of BPS in this paper.
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