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MOINUDDIN, M. ZERGUINE, A. ARIF, M.
Originální název
A Weighted Gaussian Kernel Least Mean Square Algorithm
Typ
článek v časopise ve Web of Science, Jimp
Jazyk
angličtina
Originální abstrakt
In this work, a novel weighted kernel least mean square (WKLMS) algorithm is proposed by introducing a weighted Gaussian kernel. The learning behavior of the WKLMS algorithm is studied. Mean square error (MSE) analysis shows that the WKLMS algorithm outperforms both the least mean square (LMS) and KLMS algorithms in terms of transient state as well as steady-state responses. We study the effect of the weighted Gaussian kernel on the associated kernel matrix, its eigenvalue spread and distribution, and show how these parameters affect the convergence behavior of the algorithm. Both of the transient and steady-state mean-square-error (MSE) behaviors of the WKLMS algorithm are studied, and a stability bound is derived. For a non-stationary environment, tracking analysis for a correlated random walk channel is presented. We also prove that the steady-state excess MSE (EMSE) of the WKLMS is Schur convex function of the weight elements in its kernel weight matrix and hence it follows the majorization of the kernel weight elements. This helps to decide which kernel weight matrix can provide better MSE performance. Simulations results are provided to contrast the performance of the proposed WKLMS with those of its counterparts KLMS and LMS algorithms. The derived analytical results of the proposed WKLMS algorithm are also validated via simulations for various step-size values.
Klíčová slova
Kernel methods, Least mean square, Reproducing kernel Hilbert space, Gaussian kernel, Kernel adaptive filtering
Autoři
MOINUDDIN, M.; ZERGUINE, A.; ARIF, M.
Vydáno
23. 4. 2023
ISSN
0278-081X
Periodikum
CIRCUITS SYSTEMS AND SIGNAL PROCESSING
Ročník
42
Číslo
9
Stát
Spojené státy americké
Strany od
5267
Strany do
5288
Strany počet
22
URL
https://link.springer.com/article/10.1007/s00034-023-02337-y
BibTex
@article{BUT185125, author="MOINUDDIN, M. and ZERGUINE, A. and ARIF, M.", title="A Weighted Gaussian Kernel Least Mean Square Algorithm", journal="CIRCUITS SYSTEMS AND SIGNAL PROCESSING", year="2023", volume="42", number="9", pages="5267--5288", doi="10.1007/s00034-023-02337-y", issn="0278-081X", url="https://link.springer.com/article/10.1007/s00034-023-02337-y" }