TY - GEN
T1 - Random Fourier Features Multi-Kernel LMS Algorithm
AU - Gao, Wei
AU - Song, Meiru
AU - Chen, Jie
AU - Zhang, Lingling
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/8/21
Y1 - 2020/8/21
N2 - Multi-kernel based methods have better and more flexible performance due to more freedom degrees and united features than the mono-kernel methods. In this paper, we present the random Fourier multi-kernel least-mean-square (RFF-MKLMS) algorithm, and derive its analytical models in the mean and mean-square error sense to characterize its transient and steady-state stochastic behaviors. The theoretical predictions consistently match with the simulated learning curves during the transient and steady-state phases, which validate the accuracy of theoretical findings.
AB - Multi-kernel based methods have better and more flexible performance due to more freedom degrees and united features than the mono-kernel methods. In this paper, we present the random Fourier multi-kernel least-mean-square (RFF-MKLMS) algorithm, and derive its analytical models in the mean and mean-square error sense to characterize its transient and steady-state stochastic behaviors. The theoretical predictions consistently match with the simulated learning curves during the transient and steady-state phases, which validate the accuracy of theoretical findings.
KW - convergence performance analysis
KW - kernel approximation
KW - multi-kernel least-mean-square
KW - Random Fourier features
UR - http://www.scopus.com/inward/record.url?scp=85097933415&partnerID=8YFLogxK
U2 - 10.1109/ICSPCC50002.2020.9259504
DO - 10.1109/ICSPCC50002.2020.9259504
M3 - 会议稿件
AN - SCOPUS:85097933415
T3 - ICSPCC 2020 - IEEE International Conference on Signal Processing, Communications and Computing, Proceedings
BT - ICSPCC 2020 - IEEE International Conference on Signal Processing, Communications and Computing, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2020
Y2 - 21 August 2020 through 23 August 2020
ER -