Results 211 to 220 of about 118,102 (264)

Measure of Nonlinearity for Estimation

IEEE Transactions on Signal Processing, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yu Liu 0013, X. Rong Li
openaire   +2 more sources

Simultaneous Nonlinear Estimation

Technometrics, 1966
An iterative procedure is given for the estimation of a vector of parameters some of which may be common to more than one of a set of nonlinear regression equations in the model presented. The procedure is given for the situation when the covariance matrix in the model is known and is extended to include the model when the covariance matrix is unknown.
Beauchamp, J. J., Cornell, R. G.
openaire   +2 more sources

Nonlinear Estimation for a Class of Systems

2006 IEEE International Symposium on Information Theory, 2006
This paper considers nonlinear estimation problems for a class of models, and employs relative entropy to describe the uncertainty classes. Two problems are formulated and their solutions are sought. 1) When the transition probability between the signal to be estimated X and the measurement Y or stochastic kernel is unknown, and 2) when the joint ...
Charalambous, Charalambos D., Socratous, Y., Charalambous, Charalambos D., Socratous, Y.   +3 more
openaire   +2 more sources

Nonlinear Estimation for a Class of Systems

IEEE Transactions on Information Theory, 2009
This paper considers nonlinear estimation problems for classes of models, and employs relative entropy to describe the uncertainty classes. Two optimization problems are formulated on general Banach spaces, and their solutions are sought: 1) when the transition probability between the signal to be estimated X and the measurement Y or stochastic kernel ...
Socratous, Y., Rezaei, F., Charalambous, Charalambos D., Socratous, Y., Rezaei, F., Charalambous, Charalambos D.   +5 more
openaire   +2 more sources

A Variational Approach to Nonlinear Estimation

SIAM Journal on Control and Optimization, 2003
The authors investigate a variational formulation of Bayesian inference for which there is a natural information-theoretic interpretation. Forward and inverse forms of Bayes's formula are used to examine the minimization of apparent information and the maximization of compatible information respectively.
Sanjoy K. Mitter, Nigel J. Newton
openaire   +1 more source

Estimation of the nonlinearity of a photodetector

Applied Optics, 1992
A method is presented for the estimation of the nonlinearity of a photodetector.
openaire   +2 more sources

Nonlinear Estimation and Asymptotic Approximations

Econometrica, 1978
central objective of this paper is to present a series expansion of nonlinear estimators in order to facilitate an analysis of the distributions of such estimators. Where the estimator under consideration is a maximum likelihood estimator, the method provides somewhat more information, as well as higher order approximations to the distributions of the ...
openaire   +1 more source

Nonlinear state estimation with nonlinear equality constraints

53rd IEEE Conference on Decision and Control, 2014
This paper investigates the problem of state estimation of nonlinear systems with nonlinear equality constraints. By treating the nonlinear equality constraints as part of the new coordinate, a diffeomorphism is found such that an unconstrained reduced-order system is obtained.
Jinya Su, Wen-Hua Chen 0001, Baibing Li
openaire   +1 more source

Parameter Estimation in Nonlinear Regression

Calcutta Statistical Association Bulletin, 1990
ABSTRACT: A restriction generally imposed when proving consistency results in nonlinear regression is that the parameter space be compact. The authors relax this assumption; indeed, the parameter space includes all separable metric spaces. A nonlinear regression model having random regressors is studied.
Bhattacharyya, B. B., Richardson, G. D.
openaire   +1 more source

Nonlinear Estimation

2019
Nonlinear Estimation: Methods and Applications with Deterministic Sample Points focusses on a comprehensive treatment of deterministic sample point filters (also called Gaussian filters) and their variants for nonlinear estimation problems, for which no closed-form solution is available in general.
Shovan Bhaumik, Paresh Date
openaire   +1 more source