en 5-Signal Processing Signal Processing Research Paper Research Paper <p style="text-align: justify;"><span style="font-size:12px;"><span style="font-family:tahoma;">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.</span></span></p> Adaptive Filter,Wavelet Transform Domain LMS (WTDLMS),Variable Step-Size,Mean Square Deviation, 213 218 http://ijeee.iust.ac.ir/browse.php?a_code=A-10-68-6&slc_lang=en&sid=1 M. Shams Esfand Abadi mshams@srttu.edu 180031947532846005637 180031947532846005637 Yes the Faculty of Electrical Engineering, Shahid Rajaee Teacher Training University, Tehran, Iran. H. Mesgarani shamsmo@yahoo.com 180031947532846005638 180031947532846005638 No Faculty of Basic Sciences, Department of Applied Mathematics, Shahid Rajaee Teacher Training University, Tehran, Iran. S. M. Khademiyan s.mahmoud.kh@gmail.com 180031947532846005639 180031947532846005639 No Faculty of Basic Sciences, Department of Applied Mathematics, Shahid Rajaee Teacher Training University, Tehran, Iran.