Results 111 to 120 of about 1,526 (199)

Hidden state estimation using the Correntropy Filter with fixed point update and adaptive kernel size

, 2012
In this paper we review the Correntropy Filter for hidden state estimation and we introduce the fixed point update rule for the Correntropy Filter instead of using gradient ascent for faster convergence.
Jose C. Principe, Goktug T. Cinar, Principe, Jose C., Cinar, Goktug T.   +3 more
core   +1 more source

A Robust GPS Navigation Filter Based on Maximum Correntropy Criterion with Adaptive Kernel Bandwidth. [PDF]

Sensors (Basel), 2023
Jwo DJ, Chen YL, Cho TS, Biswal A.
europepmc   +1 more source

Correntropy-based spectral characterization of respiratory patterns in patients with chronic heart failure

, 2013
A correntropy-based technique is proposed for the characterization and classification of respiratory flow signals in chronic heart failure (CHF) patients with periodic or nonperiodic breathing (PB or nPB, respectively) and healthy subjects.
Jané, Raimon, Sörnmo, Leif, Garde, Ainara, Giraldo, Beatriz F.   +3 more
core   +1 more source

State Estimation Based on Correntropy: A Proof of Concept

, 2009
This letter proposes a new concept applied to state estimation based on replacing traditional regression models by a criterion of maximizing error correntropy introducing a novel way to identify and correct large ...
André Santos, Jorge Correia Pereira, Vladimiro Miranda   +2 more
core   +2 more sources

Maximum correntropy smoothers based on information theoretic learning in non-Gaussian environments

, 2023
Non-Gaussian noise processing is difficult in dynamics systems, and smoothing plays an important role for state estimation. As an optimization criterion in information theoretic learning, the maximum correntropy has been recently applied to filtering ...
Minrui Fei (749817), Ting Liu (45625), Huiyu Zhou (20342400), Haiping Ma (749816), Yajing Zhang (1760800)   +4 more
core  

Graph Regularized Non-negative Matrix Factorization By Maximizing Correntropy

, 2014
Non-negative matrix factorization (NMF) has proved effective in many clustering and classification tasks. The classic ways to measure the errors between the original and the reconstructed matrix are l2 distance or Kullback-Leibler (KL) divergence ...
Jianjun Yang, Yang Xu, Kaili Zhao, Zhuoyi Fan, Honggang Zhang, Le Li   +5 more
core  

Quaternion Maximum Versoria Criterion Algorithm for Channel Estimation Under Non-Gaussian Noise

IEEE Access
Quaternion adaptive filtering algorithms have emerged as promising candidate for addressing system identification and channel estimation problem for 4D signals.
Shivam Yadav, Sandesh Jain, Rangeet Mitra, Ayush Ranjan, Vimal Bhatia, Ondrej Krejcar, Peter Brida   +6 more
doaj   +1 more source

Correntropy: A localized similarity measure

, 2014
—The measure of similarity normally utilized in statistical signal processing is based on second order moments. In this paper, we reveal the probabilistic meaning of correntropy as a new localized similarity measure based on information theoretic ...
P. P. Pokharel, Weifeng Liu, J. C. Principe   +2 more
core  

Distributed Maximum Correntropy Linear Filter Based on Rational Quadratic Kernel Against Non-Gaussian Noise

This paper investigates the distributed state estimation problem for the linear system against non-Gaussian noise, where every sensor commutates information only within its adjacent sensors without the need for a fusion center.
Jiahui Yang, Xuehua Zhao, Dejun Mu
core   +1 more source

Maximum correentropy-based robust Square-root Cubature Kalman Filter for vehicular cooperative navigation. [PDF]

Sci Rep, 2023
Sun W, Zhang X, Ding W, Zhang H, Liu A.
europepmc   +1 more source