سال انتشار: ۱۳۹۱

محل انتشار: پانزدهمین کنفرانس دانشجویی مهندسی برق ایران

تعداد صفحات: ۴

نویسنده(ها):

Milad Khoshkhoo – Shahid Rajaee Teacher Training University, Faculty of Electrical and Computer Engineering, Tehran, Iran
Mohammad Moshtaghi –
Mohammad Shams Esfand Abadi –

چکیده:

Selective partial update (SPU) strategy in adaptive filter algorithms is used to reduce the computational complexity. In this paper we apply the SPU Normalized LeastMean Squares algorithms (SPU-NLMS) for distributed estimation problem based on incremental strategy in incremental network. The distributed SPU-NLMS (dSPUNLMS) reduce the computational complexity while it’s performance is close to the dNLMS. We demonstrate the good performance of dSPU-NLMS in both convergence speed and steady-state mean square error