Results 21 to 30 of about 1,693,613 (285)

Asymptotic Probability Density Function of Nonlinear Phase Noise [PDF]

, 2003
The asymptotic probability density function of nonlinear phase noise, often called the Gordon-Mollenauer effect, is derived analytically when the number of fiber spans is very large.
Cameron, Gordon, Keang-Po Ho, Kim, McKinstrie, McKinstrie, Mecozzi, Ryu   +7 more
core   +3 more sources

Pengaruh Pencahayaan terhadap Kinerja Segmentasi

ComTech, 2014
  Light intensity may affect the image quality of an object that can cause barriers in doing preprocessing to improve the image quality of a digital image.
Iman H. Kartowisatro
doaj   +1 more source

Chaotic intermittency with non-differentiable M(x) function

Revista Facultad de Ingeniería Universidad de Antioquia, 2023
One-dimensional maps showing chaotic intermittency with discontinuous reinjection probability density functions are studied. For these maps, the reinjection mechanism possesses two different processes.
Sergio Elaskar, Ezequiel Del Río, Mauro Grioni   +2 more
doaj   +1 more source

An Improved Variable Kernel Density Estimator Based on L₂ Regularization

Mathematics, 2021
The nature of the kernel density estimator (KDE) is to find the underlying probability density function (p.d.f) for a given dataset. The key to training the KDE is to determine the optimal bandwidth or Parzen window.
Yi Jin, Yulin He, Defa Huang
doaj   +1 more source

Evolving Molecular Cloud Structure and the Column Density Probability Distribution Function [PDF]

, 2014
The structure of molecular clouds can be characterized with the probability distribution function (PDF) of the mass surface density. In particular, the properties of the distribution can reveal the nature of the turbulence and star formation present ...
Sills, Alison, Wadsley, James, Ward, Rachel L.   +2 more
core   +1 more source

Probability Density Function [PDF]

, 2011
  +7 more sources

Integro-differential diffusion equation for continuous time random walk

, 2010
In this paper we present an integro-differential diffusion equation for continuous time random walk that is valid for a generic waiting time probability density function.
A. Carpinteri, A. Erdelyi, H. Risken, K. G. Wang, Kwok Sau Fa, R. Kubo   +5 more
core   +1 more source

Probability density functions of work and heat near the stochastic resonance of a colloidal particle [PDF]

, 2008
We study experimentally and theoretically the probability density functions of the injected and dissipated energy in a system of a colloidal particle trapped in a double well potential periodically modulated by an external perturbation.
Alberto Imparato, Artyom Petrosyan, Babic D, Imparato A, Jop P, Kurchan J, Pierre Jop, Ritort F, Schmitt C, Sergio Ciliberto, Speck T, Speck T, Wolfram S   +12 more
core   +5 more sources

Conditional probability density functional theory

Physical Review B, 2022
We present conditional probability (CP) density functional theory (DFT) as a formally exact theory. In essence, CP-DFT determines the ground-state energy of a system by finding the CP density from a series of independent Kohn-Sham (KS) DFT calculations. By directly calculating CP densities, we bypass the need for an approximate XC energy functional. In
Ryan Pederson, Jielun Chen, Steven R. White, Kieron Burke   +3 more
openaire   +2 more sources

Probability density function characterization of multipartite entanglement

, 2006
We propose a method to characterize and quantify multipartite entanglement for pure states. The method hinges upon the study of the probability density function of bipartite entanglement and is tested on an ensemble of qubits in a variety of situations ...
A. Osterloh, G. Florio, G. Parisi, K. Brennen, P. Facchi, S. Pascazio, W. K. Wootters   +6 more
core   +1 more source