@inproceedings{13390ed99f084b619bbf235837c1258b,
title = "Sign subband adaptive filter with selection of number of subbands",
abstract = "The sign subband adaptive filter (SSAF) algorithm is introduced to reduce performance degradation of leastmean-square-type algorithms due to a correlated input signal or an impulsive noise environments. However, this algorithmh has huge computational complexity when the length of the unknown system is large. In this paper, we focus on reduce computational complexity of the conventional SSAF algorithm and propose an SSAF algorithm which selects number of subbands according to convergence state. The specific bands which contributes to decrease the mean-square deviation are used to update the adaptive filter. Thus, the proposed algorithm reduces the computational complexity compared to the conventional SSAF algorithm. The selection mehtod is derived by analysing the mean-square deviation. Through the computer simulation, simulation results are presented that demonstrate the fast convergence rate of the proposed algorithm and save the computational cost.",
keywords = "Adaptive filter, Impulsive noise, Mean-square deviation, Sign algorithm",
author = "Jeong, {Jae Jin} and Kim, {Seung Hun} and Gyogwon Koo and Kim, {Sang Woo}",
year = "2015",
doi = "10.5220/0005537604070411",
language = "English",
series = "ICINCO 2015 - 12th International Conference on Informatics in Control, Automation and Robotics, Proceedings",
publisher = "SciTePress",
pages = "407--411",
editor = "Joaquim Filipe and Joaquim Filipe and Kurosh Madani and Oleg Gusikhin and Jurek Sasiadek",
booktitle = "ICINCO 2015 - 12th International Conference on Informatics in Control, Automation and Robotics, Proceedings",
note = "12th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2015 ; Conference date: 21-07-2015 Through 23-07-2015",
}