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   Articles with "error entropy" as a keyword



Bias-compensated Adaptive Filter Algorithm under Minimum Error Entropy Criterion

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recommendations! Published in 2019 at "IFAC-PapersOnLine"

DOI: 10.1016/j.ifacol.2019.12.387

Abstract: Abstract This paper proposes a bias-compensated adaptive filtering algorithm under minimum error entropy criterion, which outperforms with low steady-state misalignment for signal processing with noisy input in an environment containing impulsive output noise. In previous… read more here.

Keywords: minimum error; entropy criterion; error entropy; bias ... See more keywords

Enhancing USVs navigation based on minimum error entropy of GPS vector tracking

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recommendations! Published in 2024 at "Measurement Science and Technology"

DOI: 10.1088/1361-6501/ad3fd7

Abstract: In recent years, unmanned surface Vessels (USVs) have increasingly been used for river monitoring and hydrological surveys. USVs rely on global navigation satellite systems (GNSS) for navigation. However, signal blocking can cause the traditional GNSS… read more here.

Keywords: navigation; based minimum; vector tracking; error entropy ... See more keywords

Where Does Minimum Error Entropy Outperform Minimum Mean Square Error? A New and Closer Look

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recommendations! Published in 2018 at "IEEE Access"

DOI: 10.1109/access.2018.2792329

Abstract: The past decade has seen a rapid application of information theoretic learning (ITL) criteria in robust signal processing and machine learning problems. Generally, in ITL’s literature, it is seen that, under non-Gaussian assumptions, especially when… read more here.

Keywords: minimum error; error entropy; error; mean square ... See more keywords

Minimum Total Quaternion Error Entropy Filtering With Fiducial Points Against Asymmetric Noise

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recommendations! Published in 2025 at "IEEE Signal Processing Letters"

DOI: 10.1109/lsp.2024.3515813

Abstract: Quaternion adaptive filters (QAFs) are extensively used in processing three- or four-dimensional signals effectively. However, their performance can significantly deteriorate or even diverge when system inputs and outputs are contaminated by complex noises. Therefore, this… read more here.

Keywords: error entropy; fiducial points; asymmetric noise; quaternion ... See more keywords

Robust Quadrature Information Filter Based on Minimum Error Entropy for Non-Gaussian Measurement Noises

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recommendations! Published in 2025 at "IEEE Transactions on Consumer Electronics"

DOI: 10.1109/tce.2025.3617153

Abstract: Under the framework of minimum error entropy (MEE), a robust quadrature information filter (MEE-QIF) is proposed to address the problems of non-Gaussian measurement noises in this article. More specifically, based on the classical Gauss-Hermite Quadrature… read more here.

Keywords: quadrature; non gaussian; error entropy; minimum error ... See more keywords

Augmented Complex Minimum Error Entropy for Adaptive Frequency Estimation of Power System

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recommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems II: Express Briefs"

DOI: 10.1109/tcsii.2021.3133024

Abstract: The minimum error entropy (MEE) criterion has been receiving increasing attention over the minimum mean square error (MMSE) criterion in non-Gaussian noise distribution, because it accounts for all higher order moments. In this brief, a… read more here.

Keywords: frequency estimation; error; error entropy; minimum error ... See more keywords

Distributed Generalized Minimum Error Entropy Unscented Kalman Filter Under Hybrid Attacks Without Prior Knowledge

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recommendations! Published in 2025 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2025.3547467

Abstract: This article examines the issue of distributed nonlinear state estimation using generalized minimum error entropy (GMEE) amidst hybrid attacks and heavy-tailed measurement noise, particularly in scenarios, where the characteristics of deception attack and measurement noise… read more here.

Keywords: hybrid attacks; generalized minimum; error entropy; minimum error ... See more keywords

Robust Spike-Based Continual Meta-Learning Improved by Restricted Minimum Error Entropy Criterion

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recommendations! Published in 2022 at "Entropy"

DOI: 10.3390/e24040455

Abstract: The spiking neural network (SNN) is regarded as a promising candidate to deal with the great challenges presented by current machine learning techniques, including the high energy consumption induced by deep neural networks. However, there… read more here.

Keywords: spike based; minimum error; error entropy; meta learning ... See more keywords