@article {Wen:2020:0736-2935:728,
title = "Convergence behavior analysis of FxLMS algorithm with different leaky term",
journal = "INTER-NOISE and NOISE-CON Congress and Conference Proceedings",
parent_itemid = "infobike://ince/incecp",
publishercode ="ince",
year = "2020",
volume = "261",
number = "6",
publication date ="2020-10-12T00:00:00",
pages = "728-739",
itemtype = "ARTICLE",
issn = "0736-2935",
url = "https://ince.publisher.ingentaconnect.com/content/ince/incecp/2020/00000261/00000006/art00087",
author = "Wen, Shulin and Gan, Woon-Seng and Shi, Dongyuan",
abstract = "In order to improve the robustness of conventional filtered-X LMS (FXLMS) algorithm, different leaky terms are introduced into the cost function. With di erent leaky term, the convergence behavior differs much. The detailed derivation of LASSO based FXLMS (L1-FXLMS) and elastic-net
based FXLMS (L1/2-FXLMS) algorithms are presented. In addition, su cient conditions for guaranteed convergence are derived for FxLMS algorithms with different leaky term. Furthermore, the convergence behavior of Ll-FXLMS and L1/2- FXLMS algorithms are compared with conventional FXLMS and leaky
FXLMS (L2-FXLMS) algorithms. It is indicated that Ll-FXLMS could have faster convergence speed than L2- FXLMS with the premise of guaranteed convergence. Simulation and experiments are conducted to test the su cient boundaries for guaranteed convergence of different FXLMS algorithms.",
}