Suchergebnisse - noise model parameter algorithm

Two-stage parameter estimation algorithms for Box–Jenkins systems von Ding, Feng, Duan, Honghong

“… estimate the parameters of the system model and the noise model, respectively. The simulation examples indicate that the proposed algorithms can generate highly accurate parameter …”
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Model-Based Particle Swarm Optimization Filtering Algorithm for Mecanum Wheel Car Parameter Identification With Measurement Noise von Tsai, Min-Che, Peng, Chao-Chung

“… However, the estimation of kernel parameters without the system disassembly is less investigated …”
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Least Squares based Iterative Parameter Estimation Algorithm for Stochastic Dynamical Systems with ARMA Noise Using the Model Equivalence von Ding, Feng, Meng, Dandan, Dai, Jiyang, Li, Qishen, Alsaedi, Ahmed, Hayat, Tasawar

“… By means of the model equivalence theory, this paper proposes a model equivalence based least squares iterative algorithm for estimating the parameters of stochastic dynamical systems with ARMA noise …”
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A Novel Distribution Parameter Fitting Algorithm of Correlation Noise Model for Distributed Video Coding von Luo, Ya Dan, Liang, Xiang Yan, Tang, Zhen Hua, Qin, Tuan Fa

“… In order to improve the accuracy of correlated noise (CN) model for distributed video coding (DVC …”
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Recursive least squares parameter identification algorithms for systems with colored noise using the filtering technique and the auxilary model von Ding, Feng, Wang, Yanjiao, Ding, Jie

“… The key is to use a linear filter to filter the input–output data. The proposed algorithms can identify the parameters of the system models and the noise models …”
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Bounded-error parameter estimation: Noise models and recursive algorithms von Bai, Er-Wei, Nagpal, Krishna M., Tempo, Roberto

“… The first part of the paper deals with the relationships between various noise models and the ‘size’ of the resulting membership set, the set of parameter estimates consistent with the data and the a priori information …”
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A novel recursive multivariate nonlinear time-series modeling method by using the coupling identification concept von Zhou, Yihong, Ding, Feng

“… , the M-RBF-ARMA model. For the purpose of achieving highly accuracy modeling performance under colored noise interference, a novel recursive parameter identification algorithm for the M-RBF-ARMA model is investigated …”
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Moving average filtering with deconvolution (MAD) for hidden Markov model with filtering and correlated noise von Almanjahie, Ibrahim M., Khan, Ramzan Nazim, Milne, Robin K., Nomura, Takeshi, Martinac, Boris

“… ) based statistical analysis of such data on a hidden Markov model (HMM) with a moving average adjustment for the filter but without correlated noise, and used the EM algorithm for parameter estimation …”
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Expectation‐maximization algorithm for bilinear state‐space models with time‐varying delays under non‐Gaussian noise von Wang, Xinyue, Ma, Junxia, Xiong, Weili

“… ‐order Markov chain to model the delays. In the framework of expectation‐maximization (EM) algorithm, the unknown parameters, delays, noise variance, states and transition probability matrix can be estimated iteratively. A numerical simulation and a continuous stirred tank reactor (CSTR) process demonstrate that the proposed algorithm has good immunity against outliers and time‐varying delays and offers good estimation accuracy for the bilinear SSM …”
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Closed-loop identification for aircraft flutter model parameters von Jianhong, Wang

“… model parameters identification is turned to one closed-loop identification problem. An iterative identification algorithm is proposed to identify the unknown …”
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Parameter Resolution of the Estimation Methods for Power Law Indices von Zhou, Zheng-Yun, Ding, Yi-Ming

“… for experimental or empirical data. We use a flexible distinguishing criterion and present a framework to compute the parameter resolution by bootstrap and simulation, which can be used in different models and algorithms, even for non-Gaussian noises …”
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An Enhanced Intrinsic Time-Scale Decomposition Method Based on Adaptive Lévy Noise and Its Application in Bearing Fault Diagnosis von Ma, Jianpeng, Zhuo, Shi, Li, Chengwei, Zhan, Liwei, Zhang, Guangzhu

“… We used an optimization algorithm to adaptively adjust the model parameters, reducing the impact of nonwhite noise on the feature …”
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Filtering-based gradient joint identification algorithms for nonlinear fractional-order models with colored noises von Hu, Chong, Ji, Yan

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Recursive Least Squares Parameter Estimation Algorithms for a Class of Nonlinear Stochastic Systems With Colored Noise Based on the Auxiliary Model and Data Filtering von Wang, Longjin, He, Yan

“… We filter the input-output data by using an estimated noise transfer function and obtain two identification models, one containing the parameters of the noise model, and the other …”
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Two-stage least squares based iterative estimation algorithm for CARARMA system modeling von Ding, Feng

“… ) models, a new-type two-stage least squares based iterative algorithm is proposed for identifying the system model parameters and the noise model parameters …”
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Model-based blind estimation of kinetic parameters in dynamic contrast enhanced (DCE)-MRI von Fluckiger, Jacob U., Schabel, Matthias C., DiBella, Edward V.R.

“… An iterative blind estimation algorithm alternately estimated parameters for the input function and the pharmacokinetic model …”
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Parameter Estimation for Traffic Noise Models Using a Harmony Search Algorithm von An, Deok-Soon, Suh, Young-Chan, Mun, Sungho, Ohm, Byung-Sik

“… Accordingly, this paper introduces a parameter estimation procedure for ASJ-based noise prediction models, utilizing a harmony search (HS) algorithm …”
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Feedback chaotic growth optimizer for parameter extraction of a novel direct current arc model von Yin, Zhendong, Wang, Li, Qiu, Xianqun, Zhang, Jiyong

“… To enable precise parameter extraction from the exponent segmented noise model, we introduce a new metaheuristic algorithm called the feedback chaotic growth optimizer (FCGRO …”
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A filtering based multi-innovation extended stochastic gradient algorithm for multivariable control systems von Pan, Jian, Jiang, Xiao, Wan, Xiangkui, Ding, Wenfang

“… The proposed algorithms can identify the parameters of the system model and the noise model. The filtering based multi-innovation ESG algorithm can give more accurate parameter estimates …”
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Probability-Based Identification of Hammerstein Systems With Asymmetric Noise Characteristics von Liu, Xin, Wang, Chen, Dai, Wei

“… In the existing identification algorithms, the output noise is usually modeled by using the thick-tailed Laplace and Student's t-distributions instead of the Gaussian distribution to acquire …”
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