Results 71 to 80 of about 935 (185)
Imagined Chinese Speech Decoding Based on Initials and Finals From EEG Activity
IET Signal Processing, Volume 2026, Issue 1, 2026.Brain‐computer interface (BCI) plays an important role in various fields, such as neuroscience, rehabilitation, and machine learning. The silent BCI, which can reconstruct inner speech from neural activity, holds great promise for aphasia patients. In this paper, we design an imagined Chinese speech experimental paradigm based on initials and finals ...
Jingyu Gu +4 more
wiley +1 more source
Neurodynamic TDOA localization with NLOS mitigation via maximum correntropy criterion
, 2020 n this paper, we exploit the maximum correntropy criterion (MCC) to robustify the traditional time difference-of-arrival (TDOA) location estimator in the presence of non-line-of-sight (NLOS) propagationconditions.
Xiong, Wenxin +3 more
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An adaptive kernel width convex combination method for maximum correntropy criterion
Journal of the Brazilian Computer Society, 2021 Recently, the maximum correntropy criterion (MCC) has been successfully applied in numerous applications regarding nonGaussian data processing. MCC employs a free parameter called kernel width, which affects the convergence rate, robustness, and steady ...
Aluisio I. R. Fontes +4 more
doaj +1 more source
IET Signal Processing, Volume 2026, Issue 1, 2026.The implementation of Kalman filter (KF) in tracking high‐dimensional, strongly correlated graph structured data is often complex and unstable. Meanwhile, in practical applications, the system may be subject to interference from non‐Gaussian noise and various cyberattacks.
Bingyu Yin, Xinmin Song, Wenling Li
wiley +1 more source
Robust sparse nonnegative matrix factorization based on maximum correntropy criterion
, 2018 Nonnegative matrix factorization (NMF) is a significant matrix decomposition technique for learning parts-based, linear representation of nonnegative data, which has been widely used in a broad range of practical applications such as document clustering,
Badong Chen +7 more
core +1 more source
MPHLDAE‐1DCNN: A Novel Denoising Method for Improved Fault Diagnosis
International Journal of Rotating Machinery, Volume 2026, Issue 1, 2026.Fault diagnosis of rotating machines has undergone significant advancements through the use of deep learning models. However, the effectiveness of these models is often compromised by noisy raw vibration data collected from industrial machines, which can negatively impact accuracy rates. To address this challenge, we present an improved fault diagnosis
Fasikaw Kibrete +3 more
wiley +1 more source
, 2023 The maximum correntropy criterion (MCC), as an effective method for dealing with anomalous measurement noise, is widely applied in the design of filters.
Dongjie Wu +4 more
core +1 more source
Method of individual communication transmitter identification based on maximum correntropy
Tongxin xuebao, 2016 To measure the similarity between the fine features of communication transmitters, a method of individual communication transmitter identification based on maximum correntropy was put forward.
Zhe TANG, Ying-ke LEI
doaj +2 more sources
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 Derivative-Free Robust Kalman Filter and Smoother
IEEE Access, 2018 We consider the problem of robust estimation involving filtering and smoothing for nonlinear state space models which are disturbed by heavy-tailed impulsive noises. To deal with heavy-tailed noises and improve the robustness of the traditional nonlinear
Hongwei Wang +4 more
doaj +1 more source