Volume 13, Number 3 (September 2017)                   IJEEE 2017, 13(3): 213-218 | Back to browse issues page



DOI: 10.22068/IJEEE.13.3.3

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Shams Esfand Abadi M, Mesgarani H, Khademiyan S M. The Wavelet Transform-Domain LMS Adaptive Filter Algorithm with Variable Step-Size. IJEEE. 2017; 13 (3) :213-218
URL: http://ijeee.iust.ac.ir/article-1-1035-en.html

Abstract:   (446 Views)

The wavelet transform-domain least-mean square (WTDLMS) algorithm uses the self-orthogonalizing technique to improve the convergence performance of LMS. In WTDLMS algorithm, the trade-off between the steady-state error and the convergence rate is obtained by the fixed step-size. In this paper, the WTDLMS adaptive algorithm with variable step-size (VSS) is established. The step-size in each subfilter changes according to the largest decrease in mean square deviation. The simulation results show that the proposed VSS-WTDLMS has faster convergence rate and lower misadjustment than ordinary WTDLMS.

Full-Text [PDF 1231 kb]   (248 Downloads)    
Type of Study: Research Paper | Subject: Signal Processing
Received: 2016/12/25 | Accepted: 2017/07/11 | Published: 2017/09/06

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