Results 51 to 60 of about 935 (185)
A Novel UWB Positioning Method Based on a Maximum-Correntropy Unscented Kalman Filter
Aiming at the problem of measurement-information abnormal-error and nonlinear filtering in UWB navigation and positioning, an ultra wideband position algorithm based on a maximum cross-correlation entropy unscented Kalman filter is proposed.
Mujie Zhao, Tao Zhang, Di Wang
doaj +1 more source
The complex correntropy is a recently defined similarity measure that extends the advantages of conventional correntropy to complex-valued data. As in the real-valued case, the maximum complex correntropy criterion (MCCC) employs a free parameter called ...
Manoel B. L. Aquino +4 more
doaj +1 more source
Robust Partial Multi‐Label Learning Under Dual Noise via Joint Subspace Learning
ABSTRACT Partial Multi‐label Learning (PML) deals with the ambiguity where each instance is annotated with a set of candidate labels, and only a subset of which is valid. While existing PML methods focus primarily on label disambiguation, they often rely on the assumption of a clean feature space.
Yuanjian Zhang +4 more
wiley +1 more source
A novel robust proportionate affine projection (AP) algorithm is devised for estimating sparse channels, which often occur in network echo and wireless communication channels.
Zhengxiong Jiang +2 more
doaj +1 more source
Evidence of Physiological Comodulation During Human–Animal Interaction: A Systematic Review
From thirty‐seven studies on physiological comodulation in human–animal interaction, dogs and horses emerged as the most studied species, primarily in therapeutic and companionship settings. Cardiac and hormonal signals dominated the analyses, with correlation methods prevailing.
Ginevra Bargigli +5 more
wiley +1 more source
Abstract Purpose This scoping review aims to map and evaluate the current body of literature on the use of extended reality (XR), including virtual reality (VR), augmented reality (AR) and mixed reality (MR), in the field of knee arthroplasty. There is a high global prevalence of knee osteoarthritis, and the frequency of knee replacement surgeries is ...
Ritesh Zun Xiong Deo +3 more
wiley +1 more source
Robust Maximum Correntropy Kalman Filter
ABSTRACTThe Kalman filter provides an optimal estimation for a linear system with Gaussian noise. However, when the noises are non‐Gaussian in nature, its performance deteriorates rapidly. For non‐Gaussian noises, maximum correntropy Kalman filter (MCKF) is developed which provides a more accurate result.
Joydeb Saha, Shovan Bhaumik
openaire +2 more sources
Optimising Image Feature Extraction and Selection: A Comprehensive Review With Spark Case Studies
ABSTRACT As benchmark image datasets expand in sample size and feature complexity, the challenge of managing increased dimensionality becomes apparent. Contrary to the expectation that more features equate to enhanced information and improved outcomes, the curse of dimensionality often hampers performance.
J. Guzmán Figueira‐Domínguez +2 more
wiley +1 more source
Maximum correntropy criterion based regression for multivariate calibration
The least-squares criterion is widely used in the multivariate calibration models. Rather than using the conventional linear least-squares metric, we employ a nonlinear correntropy-based metric to describe the spectra-concentrate relations and propose a ...
Hu, Yong +9 more
core +1 more source
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

