5 citations · 8 across the 10 of their papers we have counts for
5 papers · 1 filter
Partial-Diffusion Least Mean-Square Estimation Over Networks Under Noisy Information Exchange
Vahid Vadidpour, Amir Rastegarnia, Azam Khalili +1
Partial diffusion scheme is an effective method for reducing computational load and power consumption in adaptive network implementation. The Information is exchanged among the nod…
Performance Analysis of Incremental LMS over Flat Fading Channels
Azam Khalili, Amir Rastegarnia
We study the effect of fading in the communication channels between sensor nodes on the performance of the incremental least mean square (ILMS) algorithm, and derive steady state p…
Steady-state Performance of Incremental LMS Strategies For Parameter Estimation Over Fading Wireless Channels
Azam Khalili, Amir Rastegarnia
We study the effect of fading in the communication channels between nodes on the performance of the incremental least mean square (ILMS) algorithm. We derive steady-state performan…
A Reliability of Measurement Based Algorithm for Adaptive Estimation in Sensor Networks
Wael M. Bazzi, Amir Rastegarnia, Azam Khalili
In this paper we consider the issue of reliability of measurements in distributed adaptive estimation problem. To this aim, we assume a sensor network with different observation no…
Impact of network size on the performance of incremental LMS adaptive networks
Azam Khalili, Amir Rastegarnia
In this paper we study the impact of network size on the performance of incremental least mean square (ILMS) adaptive networks. Specifically, we consider two ILMS networks with dif…