Parameter estimation based on the SPFL strategy
Elementary Gradient-Based Parameter Estimation
... By taking a second-order term as well and solving the quadratic minimization problem iteratively, Newton’s method for functional minimization is obtained.. Essentially, Newton’s method r[r] ...
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Parameter estimation for agenda based user simulation
... different parameter settings, it was shown that: 1) policies trained on a particular parame- ter setting outperform other policies when evalu- ated on the same parameters, and in particular, 2) a policy trained on ...
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Study for Parameter Estimation Optimization Based on Q-GRBPF
... parameters estimation algorithm for railway vehicles, a recursive estimation algorithm based on the quasi-Gaussian Rao-Blackwellized particle filter was put forward for the mixed linear and nonlinear ...
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Regular Subsampling Process Assessment Based on Parameter Estimation
... Since the theory of chaos was introduced in cryptography, the use of chaotic dynamical systems to secure communications has been widely investigated, particularly to generate chaotic pseudorandom numbers as cipher-keys. ...
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Improving streamflow predictions at ungauged locations with real time updating: application of an EnKF based state parameter estimation strategy
... used strategy, is usually limited by subjective selection of similarity ...scheme based on the ensemble Kalman filter (EnKF) to reduce the predic- tion ...
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Parameter Estimation of Non linear Dynamic Channel Based on UKF
... model based on Colored noise model is proposed, which is based on the steady state distribution as the noise ...channel parameter estimation by UKF algorithm, After the study, it is found that ...
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Joint communication and positioning based on soft channel parameter estimation
... the parameter set θ and on the noise ...regions based on the linearization method are not accurate at low SNR in a multipath ...information based on the approximate covar- iance matrix may lead to ...
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On-line forgetting factor adaptation for parameter estimation based diagnosis
... diagnosis, parameter estimation, fuzzy logic, decision ...On-line parameter estimation reflects the process behaviour and therefore allows ...time parameter estimation can be ...
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Parameter estimation of an electrochemistry-based lithium-ion battery model
... N2L 3G1, Canada b Department of Bioengineering, Stanford University, Stanford, CA 94305-5448, U.S.A. Abstract Parameters for an electrochemistry-based Lithium-ion battery model are es- timated using the homotopy ...
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EFFICIENT QUANTIZATION PARAMETER ESTIMATION IN HEVC BASED ON ρ-domain
... quantization parameter estimation algorithm for HEVC CTU rate ...mostly based on Lagrangian optimization combined with Laplacian distribution for transformed coeffi- ...algorithm based on a ...
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Vision-based Walking Parameter Estimation for Biped Locomotion Imitation
... This paper introduces a new approach to the adaptation problem. The pro- posed method relies on parameter extraction to facilitate the gait conversion from human to humanoid. This means that perceived trajectories ...
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ESTIMATION OF SURFACE ROUGHNESS PARAMETER BASED ON MACHINED SURFACE IMAGE
... The neural network was analyzed using the Lavenberg–Marquard method. In the algorithm, the parameter settlement is based on an error minimization between reference surface roughness parameters and the ...
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Gradient-based iterative parameter estimation for Box–Jenkins systems
... the parameter estimates of the Box–Jenkins model in (7), its main drawback is that when computing the parameter estimate vector θ( ˆ t ) at instant t ( 1 < t < L ) , the algorithm uses only the ...
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Gradient-based iterative parameter estimation for bilinear-in-parameter systems using the model decomposition technique
... Introduction Parameter estimation plays a major role in signal processing [1, 2], control system design ...the parameter estimation for above block-oriented nonlinear systems [11, ...model ...
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A RSSI based parameter tracking strategy for constrained position localization
... (RSSI)-based parameter tracking strategy for constrained position localization is ...tracking strategy is proposed to determine the real position and obtain the actual parameters in the ...
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Parameter estimation of qubit states with unknown phase parameter
... of parameter estimation for quantum two-level system, qubit system, in presence of unknown phase ...measurements based on known precision bounds; the symmetric logarithmic derivative Cramer-Rao bound ...
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Applying PEST (Parameter ESTimation) to improve parameter estimation and uncertainty analysis in WaterCAST models
... random parameter sets achieved an objective function value of 30,000 or less (within ~ ...50 parameter fields whose ‘fit’ was almost as good as that of the originally calibrated parameter ...50 ...
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Gravitational parameter estimation in a waveguide
... Gaussian strategy for the lossy bosonic channel has been found in ...optimal strategy is non-Gaussian we are more interested here in comparing it to simple and practical Gaussian ...
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Parameter estimation for dynamical systems
... density estimation for finite sets of univariate and bivariate ...density estimation based on the papers [54, 55] has been made freely available by the ...
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Parameter Estimation for LDA Frames
... The method of automatic identification of se- mantic frames is based on probabilistic generative process. Training data for the algorithm consists of tuples of grammatical relation realizations ac- quired using a ...
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