TY - GEN
T1 - Diffusion approximated kernel least mean P-power algorithm
AU - Gao, Wei
AU - Chen, Jie
AU - Zhang, Lingling
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/9
Y1 - 2019/9
N2 - Considering nonlinear and non-Gaussian environments that are frequently encountered in real-world scenarios, we thus propose the approximated kernel least mean p-power (AKLM-P) algorithm to address these tough factors for nonlinear distributed systems. In order to efficiently devise this algorithm, we use the property of shift-invariant kernel function that can be approximated by random Fourier features, and consider the impulsive noise characterized by the α-stable distribution. The stability in the mean of proposed distributed algorithm is then studied. Finally, the superiorities of proposed approach compared to diffusion kernelleast-mean-square (KLMS) algorithm are confirmed via the experimental results.
AB - Considering nonlinear and non-Gaussian environments that are frequently encountered in real-world scenarios, we thus propose the approximated kernel least mean p-power (AKLM-P) algorithm to address these tough factors for nonlinear distributed systems. In order to efficiently devise this algorithm, we use the property of shift-invariant kernel function that can be approximated by random Fourier features, and consider the impulsive noise characterized by the α-stable distribution. The stability in the mean of proposed distributed algorithm is then studied. Finally, the superiorities of proposed approach compared to diffusion kernelleast-mean-square (KLMS) algorithm are confirmed via the experimental results.
KW - Distributed diffusion
KW - Impulsive noise
KW - Kernel least mean p-power
KW - Random Fourier features
KW - Stability analysis
UR - https://www.scopus.com/pages/publications/85078924269
U2 - 10.1109/ICSPCC46631.2019.8960839
DO - 10.1109/ICSPCC46631.2019.8960839
M3 - 会议稿件
AN - SCOPUS:85078924269
T3 - 2019 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2019
BT - 2019 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2019
Y2 - 20 September 2019 through 22 September 2019
ER -