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estimation problem

A general solution to the continuous-time estimation problem under widely linear processing

A general solution to the continuous-time estimation problem under widely linear processing

... WL estimation problem under a continuous-time formulation was initially dealt with in [27,28] and ...particular problem of estimating a complex signal in additive complex white noise is solved in ...

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APPLICATION OF GA, PSO AND PSO-BFGS FOR THE INVERSE ESTIMATION PROBLEM

APPLICATION OF GA, PSO AND PSO-BFGS FOR THE INVERSE ESTIMATION PROBLEM

... the estimation of unknown parameter using evolutionary algorithms such as Genetic Algorithm (GA) and Particle Swarm Optimization ...the estimation of unknown parameters or function appearing in the ...

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Regularization of a Parameter Estimation Problem using Monotonicity and Convexity Constraints *

Regularization of a Parameter Estimation Problem using Monotonicity and Convexity Constraints *

... Table 2), especially for d 2 . This is not surprising, given the low variability in the data nearer to the function maximum and the tail. In contrast, Fig. 3b shows large observation data variability, notably at the ...

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Grobner Basis for Bivariate Normal with Missing Data Model Estimation Problem

Grobner Basis for Bivariate Normal with Missing Data Model Estimation Problem

... likelihood estimation, the parameters of the model are estimated by maximizing the likelihood function which maps the parameters to the likelihood of observing the given ...optimization problem into a ...

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Modeling of the Maximum Entropy Problem as an Optimal Control Problem and its Application to Pdf Estimation of Electricity Price

Modeling of the Maximum Entropy Problem as an Optimal Control Problem and its Application to Pdf Estimation of Electricity Price

... entropy problem for a continuous random ...entropy problem with any number of moment constraints, the entropy is considered as a functional measure and the moment constraints are considered as the state ...

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Updating of travel behavior parameters and estimation of vehicle trip-chain data based on plate scanning

Updating of travel behavior parameters and estimation of vehicle trip-chain data based on plate scanning

... reliable estimation results, the sensor location schemes for predicting trip chaining are ...maximum-likelihood estimation problem based on plate scanning is formulated to update model ...This ...

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Novel two-dimensional DOA estimation with L-shaped array

Novel two-dimensional DOA estimation with L-shaped array

... (DOA) estimation has played an important role in array signal ...a problem of bind 2D-DOA estimation with L-shaped ...2D-DOA estimation problem to the trilinear ...2D-DOA ...

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Parallelized particle filtering for freeway traffic state tracking

Parallelized particle filtering for freeway traffic state tracking

... Abstract— We consider parallelized particle filters for state tracking (estimation) of freeway traffic networks. Particle filters can accurately solve the state estimation problem for general ...

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Effectiveness of link and path information on simultaneous adjustment of dynamic O-D demand matrix

Effectiveness of link and path information on simultaneous adjustment of dynamic O-D demand matrix

... OD estimation problem as a single level nonlinear optimization model, solved with a relaxation algorithm of the lagrangian extension of the original one, taking into account route choice in order to work in ...

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Diectromagnetic interrogation techniques for damage detection

Diectromagnetic interrogation techniques for damage detection

... test problem to more accurately describe the behavior of experimental data used in the next ...inverse problem we only considered those data points along a single ...

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Estimation of hidden chemoattractant field from observed cell migration patterns

Estimation of hidden chemoattractant field from observed cell migration patterns

... The problem we address here is similar to the ones solved by Liepe et ...environment estimation problem by introducing three different phenomenological models of the hidden field and discriminating ...

7

Parameter Estimation and Control of Induction Machine using a new Recursive Algorithm

Parameter Estimation and Control of Induction Machine using a new Recursive Algorithm

... parameter estimation problem of the dynamic multivariable system described as a state mathematical model is composed of an estimation procedural development that allows us to estimate the unknown ...

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Direction of Arrival and State of Polarization Estimation Using Radial Basis Function Neural Network (Rbfnn)

Direction of Arrival and State of Polarization Estimation Using Radial Basis Function Neural Network (Rbfnn)

... computational problem of the DOA estimation step is approached as a mapping problem which is modeled using a Radial Basis Function Network or (RBFN) that can be trained with input output pairs ...DOA ...

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On the Consistency of a Physical Mapping Method to Reconstruct a Chromosome in Vitro

On the Consistency of a Physical Mapping Method to Reconstruct a Chromosome in Vitro

... An order estimation problem (16) based on the total linking distance is a stochastic optimization problem. The distribution of the linking distance DY will be ap- proxim[r] ...

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Empirical Bayes with a changing prior

Empirical Bayes with a changing prior

... optimal procedures are then established for both the two action problem under linear loss and the squared error loss estimation problem... Rates of convergence to optimality for..[r] ...

164

Approximation issues for applications in optimal control and parameter estimation

Approximation issues for applications in optimal control and parameter estimation

... forward problem, the feedback control problem, and the parameter estimation problem, all for the case in which the underlying system dynamics is governed by a partial dierential ...

22

Pose Estimation Ambiguity Problem and Their Solution Approaches in Augmented Reality Registration

Pose Estimation Ambiguity Problem and Their Solution Approaches in Augmented Reality Registration

... registration problem is big ...big problem is estimation problem mainly in location and orientation ...pose estimation problem and their ...

8

Refractivity from Clutter by Variational Adjoint Approach

Refractivity from Clutter by Variational Adjoint Approach

... inverse problem have indicated that regularization technique might be a good tool to deal with these ill-posed problems and make the inversions stable ...this problem, but no one has prominent ...

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Limitations of MT Quality Estimation Supervised Systems: The Tails Prediction Problem

Limitations of MT Quality Estimation Supervised Systems: The Tails Prediction Problem

... We think that these observations raise questions about the definition of the QE problem. It might actually be necessary to define different kinds of QE tasks: depending on the targeted application (e.g. estimating ...

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Estimation of Internet Node Location by Latency Measurements - The Underestimation Problem

Estimation of Internet Node Location by Latency Measurements - The Underestimation Problem

... After location of the targets, we noticed that CBG did not work as intended. In a number of cases, about 15 %, we faced a problem of location underesti- mations. We identified an underestimation if at least one of ...

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