@inproceedings{9fcc9e0c995940e3b8a05a84a1599651,
title = "Constrained least mean p-power error algorithm",
abstract = "In this paper, we develop a new constrained adaptive filtering algorithm, called the constrained least mean p-power error (CLMP) algorithm, which adopts the mean p-power error (MPE) as the adaptation cost. Compared with the original constrained least mean square (CLMS) algorithm, the CLMP, with a proper p value, can achieve much better performance especially in presence of impulsive noises. Convergence property of the CLMP is also studied. Simulation results are presented to demonstrate the excellent performance of the new algorithm.",
keywords = "CLMP, CLMS, impulsive noise",
author = "Siyuan Peng and Zongze Wu and Badong Chen",
note = "Publisher Copyright: {\textcopyright} 2016 TCCT.; 35th Chinese Control Conference, CCC 2016 ; Conference date: 27-07-2016 Through 29-07-2016",
year = "2016",
month = aug,
day = "26",
doi = "10.1109/ChiCC.2016.7554155",
language = "英语",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "5160--5163",
editor = "Jie Chen and Qianchuan Zhao and Jie Chen",
booktitle = "Proceedings of the 35th Chinese Control Conference, CCC 2016",
}