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Azam Khalili
Azam Khalili
Associate Professor, Malayer University, Research Fellow, National University of Singapore
Zweryfikowany adres z malayeru.ac.ir
Tytuł
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Cytowane przez
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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
1322011
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
802011
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
632018
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
612017
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
542019
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
522015
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
442012
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
432015
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
412018
Performance analysis of quantized incremental LMS algorithm for distributed adaptive estimation
A Rastegarnia, MA Tinati, A Khalili
Signal Processing 90 (8), 2621-2627, 2010
362010
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
332019
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
322011
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
312019
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
302017
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
302014
Quantized augmented complex least-mean square algorithm: Derivation and performance analysis
A Khalili, A Rastegarnia, S Sanei
Signal Processing 121, 54-59, 2016
292016
A novel approach to achieve MPPT for photovoltaic system based SCADA
BN Alhasnawi, BH Jasim, AN Alhasnawi, BE Sedhom, AM Jasim, A Khalili, ...
Energies 15 (22), 8480, 2022
272022
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
262017
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
242016
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
242015
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