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Azam Khalili
Azam Khalili
Associate Professor, Malayer University, Research Fellow, National University of Singapore
Verified email at malayeru.ac.ir
Title
Cited by
Cited by
Year
Steady-state analysis of diffusion LMS adaptive networks with noisy links
A Khalili, MA Tinati, A Rastegarnia, JA Chambers
IEEE Transactions on Signal Processing 60 (2), 974-979, 2011
1232011
Steady-state analysis of incremental LMS adaptive networks with noisy links
A Khalili, MA Tinati, A Rastegarnia
IEEE Transactions on Signal Processing 59 (5), 2416-2421, 2011
742011
Agent-based decentralized optimal charging strategy for plug-in electric vehicles
M Latifi, A Rastegarnia, A Khalili, S Sanei
IEEE transactions on industrial electronics 66 (5), 3668-3680, 2018
582018
Fully distributed demand response using the adaptive diffusion–Stackelberg algorithm
M Latifi, A Khalili, A Rastegarnia, S Sanei
IEEE Transactions on Industrial Informatics 13 (5), 2291-2301, 2017
552017
Robust frequency estimation in three‐phase power systems using correntropy‐based adaptive filter
A Khalili, A Rastegarnia, S Sanei
IET Science, Measurement & Technology 9 (8), 928-935, 2015
502015
Transient analysis of diffusion least‐mean squares adaptive networks with noisy channels
A Khalili, MA Tinati, A Rastegarnia, JA Chambers
International Journal of Adaptive Control and Signal Processing 26 (2), 171-180, 2012
432012
Derivation and analysis of incremental augmented complex least mean square algorithm
A Khalili, A Rastegarnia, WM Bazzi, Z Yang
IET Signal Processing 9 (4), 312-319, 2015
422015
Partial diffusion Kalman filtering for distributed state estimation in multiagent networks
V Vahidpour, A Rastegarnia, A Khalili, S Sanei
IEEE transactions on neural networks and learning systems 30 (12), 3839-3846, 2019
402019
Performance analysis of distributed incremental LMS algorithm with noisy links
A Khalili, MA Tinati, A Rastegarnia
International Journal of Distributed Sensor Networks 7 (1), 756067, 2011
372011
A Bayesian real-time electric vehicle charging strategy for mitigating renewable energy fluctuations
M Latifi, A Khalili, A Rastegarnia, S Sanei
IEEE Transactions on Industrial Informatics 15 (5), 2555-2568, 2018
352018
Performance analysis of quantized incremental LMS algorithm for distributed adaptive estimation
A Rastegarnia, MA Tinati, A Khalili
Signal Processing 90 (8), 2621-2627, 2010
352010
A distributed game-theoretic demand response with multi-class appliance control in smart grid
M Latifi, A Rastegarnia, A Khalili, V Vahidpour, S Sanei
Electric Power Systems Research 176, 105946, 2019
322019
A self-governed online energy management and trading for smart micro/nano-grids
M Latifi, A Rastegarnia, A Khalili, WM Bazzi, S Sanei
IEEE Transactions on Industrial Electronics 67 (9), 7484-7498, 2019
282019
A distributed algorithm for demand-side management: Selling back to the grid
M Latifi, A Khalili, A Rastegarnia, S Zandi, WM Bazzi
Heliyon 3 (11), 2017
282017
Quantized augmented complex least-mean square algorithm: Derivation and performance analysis
A Khalili, A Rastegarnia, S Sanei
Signal Processing 121, 54-59, 2016
282016
Diffusion adaptive networks with imperfect communications: link failure and channel noise
A Rastegarnia, WM Bazzi, A Khalili, JA Chambers
IET Signal Processing 8 (1), 59-66, 2014
282014
Performance analysis of incremental LMS over flat fading channels
A Khalili, A Rastegarnia, S Sanei
IEEE Transactions on control of network systems 4 (3), 489-498, 2016
232016
Analysis of partial diffusion recursive least squares adaptation over noisy links
V Vahidpour, A Rastegarnia, A Khalili, S Sanei
IET Signal Processing 11 (6), 749-757, 2017
222017
A 16-channel nonparametric spike detection ASIC based on EC-PC decomposition
T Wu, J Xu, Y Lian, A Khalili, A Rastegarnia, C Guan, Z Yang
IEEE transactions on biomedical circuits and systems 10 (1), 3-17, 2015
222015
A robust scalable demand-side management based on diffusion-admm strategy for smart grid
M Latifi, A Khalili, A Rastegarnia, WM Bazzi, S Sanei
IEEE Internet of Things Journal 7 (4), 3363-3377, 2020
202020
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