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Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2023.3240940
Abstract: In recent years, the synthetic aperture radar tomography (TomoSAR) technique is becoming an increasingly hot research topic in the 3-D reconstruction of the structure of urban buildings. The robustness of the many advanced nonparametric spectral…
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Keywords:
generalized maximum;
propagator generalized;
propagator;
tomosar ... See more keywords
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Published in 2017 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2017.2761886
Abstract: In this letter, a novel kernel adaptive algorithm, called kernel recursive generalized maximum correntropy algorithm (KRGMC), is derived in a kernel space and under the generalized maximum correntropy (GMC) criterion. The proposed kernel algorithm can…
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Keywords:
maximum correntropy;
generalized maximum;
recursive generalized;
kernel recursive ... See more keywords
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1
Published in 2023 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2023.3265604
Abstract: This letter proposes a novel random Fourier features (RFF) based sparsity-aware Kernel recursive adaptive filtering algorithm which employs generalized maximum Versoria criterion (GMVC) as an adaptation cost and generalized Versoria zero attraction (GVZA) as a…
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Keywords:
generalized maximum;
versoria criterion;
kernel recursive;
sparsity ... See more keywords
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1
Published in 2022 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2021.3103504
Abstract: The constant kernel width of generalized maximum correntropy criteria (GMCC) has arisen that the steady-state error and convergence speed can be mutually exclusive. To solve this problem, this brief proposes the variable kernel width (VKW)…
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Keywords:
generalized maximum;
correntropy criteria;
kernel width;
censored regression ... See more keywords
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Published in 2018 at "IEEE Transactions on Power Systems"
DOI: 10.1109/tpwrs.2017.2715561
Abstract: This letter shows that the sparse state recovery optimization method is equivalent to the well-known Huber M-estimator, and then justifies its robustness to bad data. We derive the total influence functions of the Huber M-estimator…
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Keywords:
estimator;
maximum likelihood;
generalized maximum;
sparse state ... See more keywords
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1
Published in 2022 at "Entropy"
DOI: 10.3390/e24071008
Abstract: Augmented IIR filter adaptive algorithms have been considered in many studies, which are suitable for proper and improper complex-valued signals. However, lots of augmented IIR filter adaptive algorithms are developed under the mean square error…
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Keywords:
generalized maximum;
augmented iir;
complex correntropy;
maximum complex ... See more keywords