Results 51 to 60 of about 50,949 (199)
Group-Constrained Maximum Correntropy Criterion Algorithms for Estimating Sparse Mix-Noised Channels
A group-constrained maximum correntropy criterion (GC-MCC) algorithm is proposed on the basis of the compressive sensing (CS) concept and zero attracting (ZA) techniques and its estimating behavior is verified over sparse multi-path channels.
Yanyan Wang +3 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
An adaptive kernel width convex combination method for maximum correntropy criterion
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
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
Student’s t Kernel-Based Maximum Correntropy Criterion Extended Kalman Filter for GPS Navigation
Global Navigation Satellite System (GNSS) receivers may produce measurement outliers in real-world applications owing to various circumstances, including poor signal quality, multipath effects, data loss, satellite signal loss, or electromagnetic ...
Dah-Jing Jwo +3 more
semanticscholar +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
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
Mean square cross error: performance analysis and applications in non-Gaussian signal processing
Most of the cost functions of adaptive filtering algorithms include the square error, which depends on the current error signal. When the additive noise is impulsive, we can expect that the square error will be very large.
Yunxiang Zhang +3 more
doaj +1 more source
Deep Robust Nonnegative Matrix Factorization for Hierarchical Data Representation
1. A hierarchical nonnegative matrix factorization method is proposed, which expands the single‐layer data representation to multiple layers, helping to explore the data's structure. 2. The L21 norm increases the robustness of the model, making the algorithm insensitive to noise. 3.
Song Yang, Li Sun, Dezhou Kong, Yun Wang
wiley +1 more source

