Algorithm and Architecture Design of Random Fourier Features-Based Kernel Adaptive Filters
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2022.3227727
Abstract: Numerous real-life systems exhibit complex nonlinear input-output relationships. Kernel adaptive filters, a popular class of nonlinear adaptive filters, can efficiently model these nonlinear input-output relationships. Their growing network structure, however, poses considerable challenges in terms… read more here.
Keywords: random fourier; based kernel; adaptive filters; kernel adaptive ... See more keywords
A Robust Student’s t-Based Kernel Adaptive Filter
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2021.3074643
Abstract: In this brief, a kernel adaptive filter based on the Student’s ${t}$ distribution in the reproducing kernel Hilbert space (RKHS) is presented, which is distinct from the traditional kernel adaptive filtering algorithms as follows: first,… read more here.
Keywords: tex math; inline formula; student; kernel adaptive ... See more keywords
Multiple Nyström Kernel Adaptive Filter Under Minimum Generalized Cauchy Loss Criterion
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2022.3224209
Abstract: The multikernel adaptive filters (MKAFs) have been successfully applied to resolve the issue of kernel parameter selection in traditional single kernel adaptive filters. However, owing to the linear growing network structures, conventional MKAFs commonly suffer… read more here.
Keywords: generalized cauchy; nystr kernel; kernel adaptive; adaptive filter ... See more keywords
Kernel Adaptive Filtering Over Complex Networks.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3199679
Abstract: This brief is concerned with the problem of kernel adaptive filtering for a complex network. First, a coupled kernel least mean square (KLMS) algorithm is developed for each node to uncover its nonlinear measurement function… read more here.
Keywords: complex networks; step size; kernel adaptive; adaptive filtering ... See more keywords