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   Articles with "minimum error" 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

Structure of minimum error discrimination for linearly independent states

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recommendations! Published in 2019 at "Physical Review A"

DOI: 10.1103/physreva.99.052334

Abstract: In this paper we study the Minimum Error Discrimination problem (MED) for ensembles of linearly independent (LI) states. We define a bijective map from the set of those ensembles to itself and we show that… read more here.

Keywords: error discrimination; minimum error; linearly independent; independent states ... 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

Multipath Estimation Based on Modified $\varepsilon$ -Constrained Rank-Based Differential Evolution With Minimum Error Entropy

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recommendations! Published in 2018 at "IEEE Access"

DOI: 10.1109/access.2018.2875020

Abstract: Multipath is one of the dominant error sources for high-precision positioning systems, such as global navigation satellite systems. The minimum mean square error criterion is usually employed for multipath estimation under the assumption of Gaussian… read more here.

Keywords: minimum error; estimation; error; varepsilon ... 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

Parametric Minimum Error Entropy Criterion: A Case Study in Blind Sensor Fusion and Regression Problems

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recommendations! Published in 2024 at "IEEE Transactions on Signal Processing"

DOI: 10.1109/tsp.2024.3488554

Abstract: The purpose of this article is to present the Parametric Minimum Error Entropy (PMEE) principle and to show a case study of the proposed criterion in a blind sensor fusion and regression problem. This case… read more here.

Keywords: criterion; parametric minimum; case; case study ... 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

Conductance-Aware Quantization Based on Minimum Error Substitution for Non-Linear-Conductance-State Tolerance in Neural Computing Systems

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recommendations! Published in 2022 at "Micromachines"

DOI: 10.3390/mi13050667

Abstract: Emerging resistive random-access memory (ReRAM) has demonstrated great potential in the achievement of the in-memory computing paradigm to overcome the well-known “memory wall” in current von Neumann architecture. The ReRAM crossbar array (RCA) is a… read more here.

Keywords: reram; conductance; quantization; non linear ... See more keywords