A new Ricean parameter estimator is considered in the context of wireless communications. THE Ricean distribution occurs frequently in the applied sciences.ing Rayleigh and Ricean within the ns network simulator. It allows for the faithful simulation of a complete fading envelope. The fading models have the.the diffuse component is the Ricean factor, which measures the. The multivariate Ricean ...

| Nonlinear discrete-time dynamic systems with chaotic behaviour are known to generate noise-like signals which have a power density spectrum distributed over a certain frequency range (broadband signals). This paper deals with the systematic design of such systems which generate signals with prescribed probability density function (pdf) and power density spectrum (pds).

Probability density function (PDF) ,moments of signal and amount of fading (AF) at the output of macrodiversity system in closed form are obtained. Dual maximal-ratio combining (MRC) is implemented at the micro level (single base station) and selection combining (SC) with two base stations (dual diversity) is implemented at the macro level. This model assumes a Nakagami-m density function for t...

To assess the performance of maximum-likelihood (ML) based Nakagami m parameter estimators, current methods rely on Monte Carlo simulation. In order to enable the analytical performance evaluation of ML-based m parameter estimators, we study the statistical properties of a parameter Δ, which is defined as the log-ratio of the arithmetic mean to the geometric mean for Nakagami-m fading power. Cl...

In this paper, closed-form expressions for probability density function (PDF) and cumulative distribution function (CDF) of the signal-to-interference ratio (SIR) at the output of the triple selection combining (SC) receiver over correlated Weibull fading channels in the presence of correlated cochannel interference (CCI) are derived. These expressions are used to study wireless system performa...

We investigate the coupling between the two components of a Large Eddy Simulation / Probability Density Function (LES/PDF) algorithm for the simulation of turbulent reacting flows. In such an algorithm, the Large Eddy Simulation (LES) component provides a solution to the hydrodynamic equations, whereas the Lagrangian Monte Carlo Probability Density Function (PDF) component solves for the PDF of...

The paper deals with the particle filter in state estimation of a discrete-time nonlinear non-Gaussian system. The goal of the paper is to design a sample size adaptation technique to guarantee the quality of an empirical probability density function (pdf) which approximates a target filtering pdf. The quality is measured by inaccuracy (cross-information) between the empirical pdf and the filte...

The asymptotic convergence of probability density function (pdf) and convergence of differential entropy are examined for the non-stationary processes that follow the maximum entropy principle (MaxEnt) and maximum entropy production principle (MEPP). Asymptotic convergence of pdf provides new justification of MEPP while convergence of differential entropy is important in asymptotic analysis of ...

I consider a model used in many communication systems where the sum of n stochastic sinusoidal signals, each with general random amplitudes as well as phase angles is present. The exact probability distribution of the resulting signal’s amplitude is of particular interest in many important applications, however the general problem has remained open. I use probabilistic methods to prove new form...