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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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Published in 2022 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2021.3123055
Abstract: Proportionate Maximum Versoria Criterion (P-MVC) based adaptive algorithms for unknown sparse system identification problem are proposed in this brief. The conventional proportionate type algorithms used for sparse system identification can work well only under Gaussian…
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Keywords:
sparse system;
maximum versoria;
system identification;
algorithm ... See more keywords