@inproceedings{0d37d21a9c4146808fbb1ba847e2c6dd,
title = "Convex combinations of multiple kernel adaptive filters",
abstract = "In this paper, we aim to improve the overall performance of kernel adaptive filters by adaptively combining several component filters with different parameters setting in the practical applications. The convex combination scheme is exploited to incorporate any two parallel diversity branches which could be the component filter or the output of previous combination layer. The proposed convex combination of multiple kernel adaptive filters can provide the more robust and better performance than the single filters with fixed parameters especially in the nonstationary complex environments without priori knowledge. Simulation results illustrate the superior performance of the proposed approach.",
keywords = "Convex combination, kernel adaptive filters, nonstationary, robustness",
author = "Wei Gao and Yi Yan and Lingling Zhang and Qunfei Zhang",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 7th IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2017 ; Conference date: 22-10-2017 Through 25-10-2017",
year = "2017",
month = dec,
day = "29",
doi = "10.1109/ICSPCC.2017.8242551",
language = "英语",
series = "2017 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--5",
booktitle = "2017 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2017",
}