Bias-compensated Adaptive Filter Algorithm under Minimum Error Entropy Criterion
Sign Up to like & getrecommendations! 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
Where Does Minimum Error Entropy Outperform Minimum Mean Square Error? A New and Closer Look
Sign Up to like & getrecommendations! 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
Augmented Complex Minimum Error Entropy for Adaptive Frequency Estimation of Power System
Sign Up to like & getrecommendations! 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
Robust Spike-Based Continual Meta-Learning Improved by Restricted Minimum Error Entropy Criterion
Sign Up to like & getrecommendations! 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