Results 51 to 60 of about 1,489 (178)
Entropy, 2019 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
Period Estimation in Astronomical Time Series Using Slotted Correntropy
, 2011 In this letter, we propose a method for period estimation in light curves from periodic variable stars using correntropy. Light curves are astronomical time series of stellar brightness over time, and are characterized as being noisy and unevenly sampled.
Estévez, Pablo A. +4 more
core +2 more sources
Adaptive Filtering Under the Maximum Correntropy Criterion With Variable Center
IEEE Access, 2019 Recently, an extended version of correntropy, whose center can locate at any position has been proposed and applied in a new optimization criterion called maximum correntropy criterion with variable center (MCC-VC).
Lingfei Zhu +3 more
doaj +1 more source
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
Robust Pose Estimation Based on Maximum Correntropy Criterion
, 2021 Pose estimation is a key problem in computer vision, which is commonly used in augmented reality, robotics and navigation. The classical orthogonal iterative (OI) pose estimation algorithm builds its cost function based on the minimum mean square error (MMSE), which performs well when data disturbed by Gaussian noise.
Qian Zhang, Badong Chen
openaire +2 more sources
Group-Constrained Maximum Correntropy Criterion Algorithms for Estimating Sparse Mix-Noised Channels
Entropy, 2017 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
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
An Examination of Some Signi cant Approaches to Statistical Deconvolution
, 2011 We examine statistical approaches to two significant areas of deconvolution - Blind Deconvolution (BD) and Robust Deconvolution (RD) for stochastic stationary signals.
Yang, Zi Hua, Yang, Zi Hua
core +1 more source
IET 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
IET 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