parameter estimation based approach
EM based parameter iterative approach for sparse Bayesian channel estimation of massive MIMO system
... EM-based parameter iterative approach based on sparse Bayesian ...our approach provides a huge gain in inducing complexity and has a much better performance compared to the LS and OMP ...
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State and parameter estimation approach to monitoring AGR nuclear core
... system based on an- alytical redundancy and directional residual generation using measurements obtained during the refueling ...similar approach has been used in ...for estimation purposes and the ...
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A QUASI-LIKELIHOOD APPROACH TO PARAMETER ESTIMATION FOR SIMULATABLE STATISTICAL MODELS
... of parameter estimation, such as maximum likelihood (ML), typical Bayesian algorithms (including Markov- chain-Monte-Carlo-type algorithms), or, least squares (including method of moments) based on ...
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Bayesian Approach in Estimation of Scale Parameter of Nakagami Distribution
... risk based on all priors and for all loss functions, relating to the scale parameter of a Nakagami distribution, expectedly decrease with the increase in sample ...
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An ETKF approach for initial state and parameter estimation in ice sheet modelling
... This approximation (Hutter, 1983) describes ice deformation in the vertical plane and allows us to calculate the vertical profile of horizontal velocity. It is based on an asymptotic approach and is ...
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A hierarchical Bayesian approach for parameter estimation in HIV models
... MCMC based methods will perform on estimation in complex models for HIV progression in untreated patients as well as in patients undergoing STI ...Bayesian approach to estimate the parameters at both ...
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Bayesian Approach in Estimation of Shape and Scale Parameter of Log-Weibull model
... The Log-Weibull model is obtained when the logarithm of a nonnegative random variable follows the Weibull model. This paper examines the possibility and appropriateness for it to be used as a lifetime distribution. In ...
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Parameter Uncertainty Estimation by Using the Concept of Ideal Data in GLUE Approach
... The GLUE procedure recognizes the equivalence of different sets of parameters in the calibration of models. It is based upon running a model with different sets of parameter values chosen randomly from the ...
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Electric Motor Fault Diagnosis Based on Parameter Estimation Approach Using Genetic Algorithm
... A model is arranged from the flux linkage models and torque model of a squirrel-cage induction motor. The proposed GA method is applies as a key technique to estimates the motor parameters: stator and rotor resistance, ...
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Parameter estimation for agenda based user simulation
... likelihood approach to estimating these parameters from real user data in a corpus of human-machine dialogues was dis- cussed, and two kinds of evaluations were pre- ...different parameter settings, it was ...
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A Variational Approach to Path Estimation and Parameter Inference of Hidden Diffusion Processes
... Diffusion processes modeled by stochastic differential equations (SDEs) appear in several disciplines varying from mathematical finance to systems biology. For example, in systems biology stochastic differential ...
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Sparsity-Aware Estimation of CDMA System Parameters
... CDMA parameter estimation tasks the vector to be estimated is sparse due to user inactivity and uncertainty on the users’ timing offsets and propagation ...parameters based on the least-absolute ...
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A GA-based Approach for Parameter Estimation in DT-MRI Tracking Algorithms
... Abstract — This paper expands upon previous work of the authors in the field of fiber tracking in diffusion tensor (DT) fields acquired via magnetic resonance (MR) imaging. Specifically, we now focus on tuning- up a ...
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Does the Box Cox transformation help in forecasting macroeconomic time series?
... nonparametric approach for estimating the optimal transformation parameter based on the frequency domain estimation of the prediction error variance, and also conduct an extensive recursive ...
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Fast Gait Parameter Estimation for Frontal View Gait Video Data Based on the Model Selection and Parameter Optimization Approach
... In a lateral view gait, at least two cycles or four steps are needed. For more robust estimation of the period of walking, about 8m is recommended. To capture this movement, the camera distance required is about ...
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Extreme weather exposure identification for road networks – a comparative assessment of statistical methods
... Regarding sampling uncertainty, we found that outliers may not only attract the distribution at the tail where they occur, but they may also bend the curve at the opposite tail as a consequence of limited flexibility of ...
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Chen_unc_0153D_14672.pdf
... penalized estimation is to tune the regularization parameters to achieve the two fundamental goals of penalized estima- tion: to penalize all the noise to be zero and to obtain an unbiased estimation of the ...
115
Assessing Software Quality with Time Domain Pareto Type II using SPC
... common approach for measuring software reliability is by using an analytical model whose parameters are generally estimated from available software failure ...
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Joint communication and positioning based on soft channel parameter estimation
... is based on a linearization of the non- linear parameter estimation problem and the second method is based on the likelihood ...linear estimation problems, an exact covariance matrix ...
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Deblurring of MRI Image Using Blind and Non-Blind Deconvolution Methods
... of blur is directly and arbitrarily manipulated. In blind deconvolution method sharp version of the image is restored, without knowing the source of blurring and details of the clear image. Whereas in non-blind ...
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