Results 31 to 40 of about 708 (167)
Performance Assessment of Non-Gaussian Control Systems Based on Mixture Correntropy
Entropy, 2019 The performance assessment of any control system plays a key role in industrial control systems. To meet the real-time requirements of modern control systems, a quick and accurate evaluation of the performance of a system is necessary.
Jinfang Zhang, Di Wu
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A Maximum Correntropy Divided Difference Filter for Cooperative Localization
IEEE Access, 2018 This paper derives a new maximum correntropy divided difference filter (DDF) to address the heavy-tailed measurement noise induced by non-Gaussian measurements in cooperative localization of autonomous underwater vehicles.
Chengjiao Sun +3 more
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Constrained maximum correntropy adaptive filtering [PDF]
Signal Processing, 2017 Constrained adaptive filtering algorithms inculding constrained least mean square (CLMS), constrained affine projection (CAP) and constrained recursive least squares (CRLS) have been extensively studied in many applications. Most existing constrained adaptive filtering algorithms are developed under mean square error (MSE) criterion, which is an ideal ...
Siyuan Peng +4 more
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Correntropy based Robust Decomposition of Neuromodulations [PDF]
2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019 Neuromodulations as observed in the extracellular electrical potential recordings obtained from Electroencephalograms (EEG) manifest as organized, transient patterns that differ statistically from their featureless noisy background. Leveraging on this statistical dissimilarity, we propose a noniterative robust classification algorithm to isolate, in ...
Shailaja Akella, José C. Príncipe
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Circular Correntropy: Definition and Application in Impulsive Noise Environments
IEEE Access, 2022 Circular statistics has been applied to several areas of knowledge in which the input data is circular or directional. Noisy measurements are still a problem in circular data applications and, like non-circular data, second-order statistics have some ...
Manoel B. L. Aquino +5 more
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IEEE Access, 2019 Cyclostationary analysis has several applications in communications, e.g., spectral sensing, signal parameter estimation, and modulation classification.
Tales V. R. O. Camara +5 more
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New Insights Into Learning With Correntropy-Based Regression [PDF]
Neural Computation, 2021 Stemming from information-theoretic learning, the correntropy criterion and its applications to machine learning tasks have been extensively studied and explored. Its application to regression problems leads to the robustness-enhanced regression paradigm: correntropy-based regression. Having drawn a great variety of successful real-world applications,
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A Novel Method for Automated Estimation of Effective Parameters of Complex Auditory Brainstem Response: Adaptive Processing Based on the Correntropy Concept [PDF]
Iranian Rehabilitation Journal, 2022 Objectives: Automated Auditory Brainstem Responses (ABR) peak detection is a novel technique to facilitate the measurement of neural synchrony along the auditory pathway through the brainstem.
Seyed Vahab Shojaedini +4 more
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Adaptive Pressure Control System Based on the Maximum Correntropy Criterion
Sensors, 2021 Water supply systems are constantly improving their operation through energy efficiency actions that involve the use of advanced measurement, control, and automation techniques. The maintenance and reliability of water distribution is directly associated
Thommas Kevin Sales Flores +3 more
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Maximum Correntropy Criterion with Distributed Method
Mathematics, 2022 The Maximum Correntropy Criterion (MCC) has recently triggered enormous research activities in engineering and machine learning communities since it is robust when faced with heavy-tailed noise or outliers in practice.
Fan Xie +3 more
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