TY - JOUR T1 - A Weighted Soft-Max PNLMS Algorithm for Sparse System Identification TT - JF - ITRC JO - ITRC VL - 8 IS - 3 UR - http://ijict.itrc.ac.ir/article-1-58-en.html Y1 - 2016 SP - 7 EP - 14 KW - Sparse adaptive filter KW - System identification KW - Echo cancelation KW - Soft maximum N2 - This paper presents a new Proportionate Normalized Least Mean Square (PNLMS) adaptive algorithm using a soft maximum operator for sparse system identification. To provide a high rate of convergence, soft maximum operator is employed along with a weighting factor, which is proportional to an estimation of output mean square error (MSE). Simulation results show the superiority of the proposed algorithm over its PNLMS-based counterparts. M3 ER -