Results 51 to 60 of about 306 (149)
IEEE Access, 2020 In wireless sensor networks (WSN), measurements are always corrupted by outliers or impulsive noise. Cubature information filtering (CIF) is founded based on minimum mean square error (MMSE) criterion, which is not applicable to non-Gaussian noise. Hence,
Jiahao Zhang +5 more
doaj +1 more source
Robust Partial Multi‐Label Learning Under Dual Noise via Joint Subspace Learning
CAAI Transactions on Intelligence Technology, Volume 11, Issue 3, Page 754-768, June 2026.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
IEEE Access, 2019 In this paper, a kind of active coefficient detection (ACD)-based maximum correntropy criterion (MCC) algorithm is proposed to estimate a sparse multi-path channel under the non-Gaussian environments. The proposed ACD-based MCC algorithms are realized by
Zeyang Sun +3 more
doaj +1 more source
IET 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
Adaptive filtering under a variable kernel width maximum correntropy criterion
, 2017 The maximum correntropy criterion (MCC) algorithm with constant kernel width leads to a tradeoff problem in terms of convergence rate and steady-state misalignment.
Zhang, Sheng (R18909) +2 more
core +1 more source
Electronics 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
, 2023 We present a multisensor fusion framework for the onboard real-time navigation of a quadrotor in an indoor environment. The framework integrates sensor readings from an Inertial Measurement Unit (IMU), a camera-based object detection algorithm, and an
Hadjiloizou, Loizos +3 more
core +2 more sources
Robust tensor factorization using maximum correntropy criterion
, 2016 Traditional tensor decomposition methods, e.g., two dimensional principle component analysis (2DPCA) and two dimensional singular value decomposition (2DSVD), minimize mean square errors (MSE) and are sensitive to outliers.
La Salle, John +9 more
core +1 more source
Variable Step Size Maximum Correntropy Criteria Based Adaptive Filtering Algorithm [PDF]
, 2016 Maximum correntropy criterion (MCC) based adaptive filters are found to be robust against impulsive interference. This paper proposes a novel MCC based adaptive filter with variable step size in order to obtain improved performance in terms of both ...
Radhika, S., Sivabalan, A.
core +1 more source
Partial maximum correntropy regression for robust electrocorticography decoding
Frontiers in Neuroscience, 2023 The Partial Least Square Regression (PLSR) method has shown admirable competence for predicting continuous variables from inter-correlated electrocorticography signals in the brain-computer interface.
Yuanhao Li +4 more
doaj +1 more source