5 citations · 8 across the 10 of their papers we have counts for
11 papers
Variants of Partial Update Augmented CLMS Algorithm and Their Performance Analysis
Vahid Vahidpour, Amir Rastegarnia, Azam Khalili +2
Naturally complex-valued information or those presented in complex domain are effectively processed by an augmented complex least-mean-square (ACLMS) algorithm. In some application…
Partial Diffusion Kalman Filtering
Vahid Vahidpour, Amir Rastegarnia, Azam Khalili +2
In conventional distributed Kalman filtering, employing diffusion strategies, each node transmits its state estimate to all its direct neighbors in each iteration. In this paper we…
Partial Diffusion Recursive Least-Squares for Distributed Estimation under Noisy Links Condition
Vahid Vahidpour, Amir Rastegarnia, Azam Khalili +1
Partial diffusion-based recursive least squares (PDRLS) is an effective method for reducing computational load and power consumption in adaptive network implementation. In this met…
A Distributed Algorithm for Training Augmented Complex Adaptive IIR Filters
Azam Khalili, Reza G. Rahmati, Amir Rastegarnia +1
In this paper we consider the problem of decentralized (distributed) adaptive learning, where the aim of the network is to train the coefficients of a widely linear autoregressive…
An Improved Self-Organizing Diffusion Mobile Adaptive Network for Pursuing a Target
Amir Rastegarnia, Azam Khalili, Md Kafiul Islam
In this letter we focus on designing self-organizing diffusion mobile adaptive networks where the individual agents are allowed to move in pursuit of an objective (target). The wel…
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…
Analysis of incremental augmented affine projection algorithm for distributed estimation of complex signals
Azam Khalili, Wael M. Bazzi, Amir Rastegarnia
This paper considers the problem of distributed estimation in an incremental network when the measurements taken by the node follow a widely linear model. The proposed algorithm wh…