Joint estimation method for DOA and polarization parameters of single electromagnetic vector sensor is mostly concerned in radar signal processing now. This paper presents a new algorithm which uses the cyclostationary property of signal. It gets the estimation of DOA and polarization parameters from the noise subspace with minimum norm method. This method can reduce the estimate error of noise...

An asymptotic analysis is carried out for an approximate method of estimating the parameters of the power spectrum of a zero-mean stationary Gaussian random process from an observed realization of limited duration. Maximum likelihood estimates are obtained with the approximation that the coefficients of the Fourier series expansion of the realization are uncorrelated. This is equivalent to othe...

In a one parameter family of dilaton gravity theories which allow the coupling of the dilaton to gravity and to a U(1) gauge field to differ, we have found the existence of everywhere regular spacetimes describing black holes hiding expanding universes inside their horizon.

We obtain an expression for the active gravitational mass of a relativistic heat conducting fluid, just after its departure from hydrostatic equilibrium, on a time scale of the order of relaxation time. It is shown that an increase of a characteristic parameter leads to larger (smaller) values of active gravitational mass of collapsing (expanding) spheres, enhacing thereby the instability of th...

Markov random "eld (MRF) modeling is a popular pattern analysis method and MRF parameter estimation plays an important role in MRF modeling. In this paper, a method based on Markov Chain Monte Carlo (MCMC) is proposed to estimate MRF parameters. Pseudo-likelihood is used to represent likelihood function and it gives a good estimation result. ( 2000 Pattern Recognition Society. Published by Else...

1 Goal SPEM (S-system Parameter Estimation Method) package allows for the computation of parameters in the n-gene S-system from time series data. 2 Introduction Biological systems are composed of interacting components [1]. The process of the expression and the interactions of these components are nonlinear. S-systems have a power law formalism which is general enough to capture the base of the...

An efficient secant-method based algorithm for solving nonlinear least squares problem is presented which showed good stability and convergence properties even with relatively high number of unknowns and large system response deviations. The trial solutions were generated by a special transformation in each iteration step. The distance between observed and simulated system responses were define...

We consider the Uzawa method to solve the stationary Stokes equations discretized with stable finite elements. An iteration step consists of a velocity update un+1 involving the (augmented Lagrangian) operator −ν − ρ∇div with ρ ≥ 0, followed by the pressure update pn+1 = p − ανdiv un+1, the so-called Richardson update. We prove that the inf-sup constant β satisfies β ≤ 1 and that, if σ = 1 + ρν...

A modular process for performing general parametric studies about an aerodynamic configuration using a Cartesian method is described. A novel part of this process is the automatic handling of general control surfaces deflections based upon simple, userspecified inputs. The article focuses on the use of aerodynamic databases in the design process. Database fly-through is used to develop and anal...

This paper concerns the Bayesian tracking of slowly varying parameters of a linear stochastic regression model. The modelled and predicted system output is assumed to possess time-varying mean value, whereas its dynamics are relatively stable. The proposed estimation method models the system output mean value by time-varying offset. It formulates three extreme hypotheses on model parameters’ va...