Results 61 to 70 of about 1,526 (199)

Robust equivalent circuit model parameters identification scheme for State of Charge (SOC) estimation based on maximum correntropy criterion [PDF]

open access: yes
Equivalent circuit model (ECM) parameters identification, which aims to identify the model parameters of ECM accurately is vital for assessing battery status and refining battery management systems (BMS), extensive research has been conducted in this ...
Zhao, Xuezhuan   +7 more
core   +1 more source

Hyperparameter‐Free Maximum Versoria Criterion Based Channel‐State Acquisition for mmWave Hybrid MIMO With Hardware Impairments

open access: yesIET Communications, Volume 20, Issue 1, January/December 2026.
This paper addresses channel estimation in mmWave (millimetre wave) hybrid MIMO (multiple‐input multiple‐output) systems impaired by residual transceiver hardware nonidealities, modelled as additive non‐Gaussian noise via Bussgang decomposition. A hyperparameter‐free maximum Versoria criterion (MVC)‐based channel estimator is proposed, featuring a ...
Rangeet Mitra   +5 more
wiley   +1 more source

Compact Maximum Correntropy-Based Error State Kalman Filter for Exoskeleton Orientation Estimation

open access: yes, 2023
This brief investigates the maximum correntropy-based Kalman filtering problem for exoskeleton orientation by fusing signals from accelerometers and gyroscopes.
Shilei Li   +11 more
core   +1 more source

Robust Sub‐Filter Based APA With Parametric Welsch Function for Acoustic Echo Cancellation Under Impulsive Noise

open access: yesElectronics Letters, Volume 62, Issue 1, January/December 2026.
Acoustic echo cancellation (AEC) in actual communication systems is challenging due to highly correlated inputs, impulsive disturbances, and computational limitations. The traditional Affine Projection Algorithm (APA) is better than the Normalised Least Mean Square method, although it involves matrix inversion complexity and is susceptible to outliers (
Gagandeep Singh   +5 more
wiley   +1 more source

L1-Norm Robust Regularized Extreme Learning Machine with Asymmetric C-Loss for Regression

open access: yesAxioms, 2023
Extreme learning machines (ELMs) have recently attracted significant attention due to their fast training speeds and good prediction effect. However, ELMs ignore the inherent distribution of the original samples, and they are prone to overfitting, which ...
Qing Wu, Fan Wang, Yu An, Ke Li
doaj   +1 more source

A Cooperative Adaptive Kalman Filter for Robust Terrain‐Referenced Navigation in Complex Environments

open access: yesIET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.
This paper introduces a Cooperative Adaptive Kalman Filter (CAKF) to prevent filter divergence in a Terrain‐Aided Navigation system by synergistically adapting its process noise (Q), measurement noise (R), and state covariance (P) based on vehicle manoeuvres and terrain quality.
Liyue Liang   +5 more
wiley   +1 more source

A TC‐Based Multicomponent LFM Signal Characterization Method Under Impulsive Noise and Its Application

open access: yesIET Signal Processing, Volume 2026, Issue 1, 2026.
The burst‐like and high‐amplitude characteristics of impulsive noise, which markedly differ from those of Gaussian noise, render methods based on the Gaussian assumption unable to accurately characterize signals under impulsive noise. Moreover, when dealing with multicomponent signal, existing impulsive noise suppression methods inevitably introduce ...
Weiwei Shang   +3 more
wiley   +1 more source

A Regularized Correntropy Framework for Robust Pattern Recognition

open access: yes, 2011
This letter proposes a new multiple linear regression model using regularized correntropy for robust pattern recognition. First, we motivate the use of correntropy to improve the robustness of the classical mean square error (MSE) criterion that is ...
Xiang-Wei Kong   +3 more
core   +1 more source

Imagined Chinese Speech Decoding Based on Initials and Finals From EEG Activity

open access: yesIET 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

Correntropy-based Robust Multilayer Extreme Learning Machines

open access: yes, 2018
International audienceIn extreme learning machines (ELM), the hidden node parameters are randomly generated and the output weights can be analytically computed.
Jihong, Zhao   +4 more
core   +1 more source

Home - About - Disclaimer - Privacy