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Mathematical Problems in Engineering
Volume 2018, Article ID 1941367, 10 pages
https://doi.org/10.1155/2018/1941367
Research Article

A Sequential Selection Normalized Subband Adaptive Filter with Variable Step-Size Algorithms

1Department of Medical and Mechatronics Engineering, Soonchunhyang University, Asan, Chungnam 31538, Republic of Korea
2Department of Electronic Engineering, Kumoh National Institute of Technology, 61 Daehak-ro (Yangho-dong), Gumi, Gyeongbuk 39177, Republic of Korea

Correspondence should be addressed to Jaegeol Cho; rk.ca.hcs@ohcloegeaj

Received 21 February 2018; Revised 17 May 2018; Accepted 13 June 2018; Published 17 July 2018

Academic Editor: Francesco Riganti-Fulginei

Copyright © 2018 JaeWook Shin et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

This letter proposes a sequential selection normalized subband adaptive filter (SS-NSAF) in order to reduce the computational complexity. In addition, a variable step-size algorithm is also proposed using the mean-square deviation analysis of the SS-NSAF. To enhance the performance in terms of the convergence speed, we propose an improved variable step-size SS-NSAF using a two-stage concept. The simulation results show the low computational complexity and low misalignment errors using the proposed algorithm.