Mohammad Shams Esfand Abadi - Faculty of Electrical and Computer Engineering, Shahid Rajaee Teacher Training University, Tehran, Iran
Mohammad Saeed Shafiee
Seyed Ali Asghar AbbasZadeh Arani

This paper presents a new variable step-size normalized subband adaptive filter (VSS-NSAF) algorithm. The proposed algorithm uses the prior knowledge of thechannel impulse response statistics and the optimal step-size vector is obtained by minimizing the mean-square deviation (MSD). Simulation results show the good performance of VSS-NSAF in convergence speed and steady-state MSD.

Adaptive filter, variable step-size (VSS), subband adaptive filter (SAF)