Results 31 to 40 of about 194 (121)
Optimal Calculation Method of Mean Equivalent Diameter of Floc Particles Based on MCC
Complexity, Volume 2022, Issue 1, 2022., 2022 In the process of water treatment, coagulation is an important process to remove minerals and organic particles from raw water, which has typical time delay and nonlinearity. The effect of coagulation directly affects the turbidity of the effluent.
Jun Liu, Siqi Peng, Nan Zhou, Jing Na
wiley +1 more source
Mathematics, 2023 This paper studies the identification for fractional-order systems (FOSs) under stable distribution noises. First, the generalized operational matrix of block pulse functions is used to convert the identified system into an algebraic one.
Yao Lu
doaj +1 more source
Maximum Correntropy Kalman Filter With State Constraints
IEEE Access, 2017 For linear systems, the original Kalman filter under the minimum mean square error (MMSE) criterion is an optimal filter under a Gaussian assumption. However, when the signals follow non-Gaussian distributions, the performance of this filter deteriorates
Xi Liu +4 more
doaj +1 more source
Robust Hammerstein Adaptive Filtering under Maximum Correntropy Criterion
Entropy, 2015 The maximum correntropy criterion (MCC) has recently been successfully applied to adaptive filtering. Adaptive algorithms under MCC show strong robustness against large outliers.
Zongze Wu +3 more
doaj +1 more source
Adaptive Filtering Under the Maximum Correntropy Criterion With Variable Center
IEEE Access, 2019 Recently, an extended version of correntropy, whose center can locate at any position has been proposed and applied in a new optimization criterion called maximum correntropy criterion with variable center (MCC-VC).
Lingfei Zhu +3 more
doaj +1 more source
Entropy, 2017 A soft parameter function penalized normalized maximum correntropy criterion (SPF-NMCC) algorithm is proposed for sparse system identification. The proposed SPF-NMCC algorithm is derived on the basis of the normalized adaptive filter theory, the maximum ...
Yingsong Li +3 more
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Complex Correntropy Applied to a Compressive Sensing Problem in an Impulsive Noise Environment
IEEE Access, 2019 Correntropy is a similarity function capable of extracting high-order statistical information from data. It has been used in different kinds of applications as a cost function to overcome traditional methods in non-Gaussian noise environments. One of the
Joao P. F. Guimaraes +4 more
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Maximum Correntropy Square-Root Cubature Kalman Filter for Non-Gaussian Measurement Noise
IEEE Access, 2020 Cubature Kalman filter (CKF) is widely used for non-linear state estimation under Gaussian noise. However, the estimation performance may degrade greatly in presence of heavy-tailed measurement noise.
Jingjing He +3 more
doaj +1 more source
KPCA Based Novelty Detection Method Using Maximum Correntropy Criterion [PDF]
Jisuanji kexue, 2022 Novelty detection is an important research issue in the field of machine learning.Till now,there exist lots of novelty detection approaches.As a commonly used kernel method,kernel principal component analysis(KPCA)has been successfully applied to deal ...
LI Qi-ye, XING Hong-jie
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Maximum Correntropy Unscented Kalman Filter for Spacecraft Relative State Estimation
Sensors, 2016 A new algorithm called maximum correntropy unscented Kalman filter (MCUKF) is proposed and applied to relative state estimation in space communication networks.
Xi Liu +4 more
doaj +1 more source