Results 31 to 40 of about 409,081 (168)
IET Radar, Sonar & Navigation, 2023 Orthogonal time frequency space (OTFS) is a new method technique that supports reliable information transmission in a strong Doppler environment. Aiming at the radar target parameter estimation problem of integration of radar and communication (IRC ...
Xiaoke Shang, Zhenkai Zhang, Yue Xiao
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Tellus: Series A, Dynamic Meteorology and Oceanography, 2014 The authors propose to implement conditional non-linear optimal perturbation related to model parameters (CNOP-P) through an ensemble-based approach. The approach was first used in our earlier study and is improved to be suitable for calculating CNOP-P ...
Xudong Yin +3 more
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Frontiers in Climate, 2022 In real applications, one common issue of parameter estimation using ensemble-based data assimilation methods is the accumulation of sampling errors when a large number of observations are used to update single-value parameters.
Zheqi Shen +4 more
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A systematic method of parameterisation estimation using data assimilation
Tellus: Series A, Dynamic Meteorology and Oceanography, 2016 In numerical weather prediction, parameterisations are used to simulate missing physics in the model. These can be due to a lack of scientific understanding or a lack of computing power available to address all the known physical processes ...
Matthew Lang +2 more
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Parameter estimation in quantum sensing based on deep reinforcement learning
npj Quantum Information, 2022 Parameter estimation is a pivotal task, where quantum technologies can enhance precision greatly. We investigate the time-dependent parameter estimation based on deep reinforcement learning, where the noise-free and noisy bounds of parameter estimation ...
Tailong Xiao, Jianping Fan, Guihua Zeng
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Parameter Estimation of LFM Signals Based on FOTD-CFRFT under Impulsive Noise
Fractal and Fractional, 2023 Due to the short duration and high amplitude characteristics of impulsive noise, these parameter estimation methods based on Gaussian assumptions are ineffective in the presence of impulsive noise. To address this issue, a LFM signal parameter estimation
Houyou Wang, Yong Guo, Lidong Yang
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Simultaneous estimation of land surface scheme states and parameters using the ensemble Kalman filter: identical twin experiments [PDF]
Hydrology and Earth System Sciences, 2011 The performance of the ensemble Kalman filter (EnKF) in soil moisture assimilation applications is investigated in the context of simultaneous state-parameter estimation in the presence of uncertainties from model parameters, soil moisture initial ...
S. Nie, J. Zhu, Y. Luo
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Entropy, 2021 A mechanistic kinetic model of cobalt–hydrogen electrochemical competition for the cobalt removal process in zinc hydrometallurgical was proposed. In addition, to overcome the parameter estimation difficulties arising from the model nonlinearities and ...
Yiting Liang, Yuanhua Zhang, Yonggang Li
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Multidimensional Single-Tone Frequency Estimation Based on QR Decomposition
IEEE Access, 2019 In this paper, the problem of multidimensional single-tone frequency estimation of sinusoids embedded in white Gaussian noise is investigated. By extracting the two-dimensional (2-D) slice matrices from the multidimensional data, we construct a ...
Hui Cao +3 more
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Frequentist and Bayesian Quantum Phase Estimation
Entropy, 2018 Frequentist and Bayesian phase estimation strategies lead to conceptually different results on the state of knowledge about the true value of an unknown parameter.
Yan Li +5 more
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