RECENT PUBLICATIONS

2019

  • Z. Mousavi, T. Yousefi Rezaii, S. Sheykhivand, A. Farzamnia, S. N. Razavi, “Deep convolutional neural network for classification of sleep stages from single-channel EEG signals,” to appear in The Journal of Neuroscience Methods, 2019.
  • M. Mehrkam, M. A. Tinati, T. Yousefi Rezaii, “Reconstruction of low-rank jointly sparse signals from multiple measurement vectors,” to appear in Signal, Image and Video Processing, 2019.
  • K. D. Ghanbar, T. Yousefi Rezaii, M. A. Tinati, A. Farzamnia, “Correlation-Based Regularized Common Spatial Patterns for Classification of Motor Imagery EEG Signals,” accepted to be presented in 27th Iranian Conference on Electrical Engineering (ICEE2019), 30 Apr. to 2 May, 2019.
  • V. Sharghian, T. Yousefi Rezaii, A. Farzamnia, M. A. Tinati, “Online Dictionary Learning for Sparse Representation-Based Classification of Motor Imagery EEG,” accepted to be presented in 27th Iranian Conference on Electrical Engineering (ICEE2019), 30 Apr. to 2 May, 2019.
  • M. Parvan, A. R. Ghiasi, T. Yousefi Rezaii, A. Farzamnia, “Transfer Learning based Motor Imagery EEG Signals Classification using Convolutional Neural Networks,” accepted to be presented in 27th Iranian Conference on Electrical Engineering (ICEE2019), 30 Apr. to 2 May, 2019.
  • G. Azarnia, M. A. Tinati, T. Yousefi Rezaii, “Generic cooperative and distributed algorithm for recovery of signals with the same sparsity profile in wireless sensor networks: a non-convex approach,” to appear in The Journal of Supercomputing, 2019.
  • A. A. Haghrah, M. A. Tinati, T. Yousefi Rezaii “Analysis of incremental LMS adaptive algorithm over wireless sensor networks with delayed-links,” Digital Signal Processing, vol. 88, pp. 80-89, 2019.

2018

  • T. Yousefi Rezaii, S. Beheshti, M. Shamsi, S. Eftekharifar “ECG signal compression and denoising via optimum sparsity order selection in compressed sensing framework,” Biomedical Signal Processing and Control, vol. 41, pp. 161-171, 2018.
  • S. Eftekharifar, T. Yousefi Rezaii, S. Beheshti, S. Daneshvar, “Block sparse multi-lead ECG compression exploiting between-lead collaboration,” IET Signal Processing, vol. 13, no.  1, pp. 46-55, 2018.
  • M. Shamsi, T. Yousefi Rezaii, M. A. Tinati, A. Rastegarnia, A. Khalili, “Block Sparse Signal Recovery in Compressed Sensing: Optimum Active Block Selection and Within-Block Sparsity Order Estimation,” Circuits, Systems, and Signal Processing, vol. 37, no.  4, pp. 1649-1668, 2018.
  • S. Sheykhivand, T. Yousefi Rezaii, Z. Mousavi, S. Meshgini, “Automatic Stage Scoring of Single-Channel Sleep EEG using CEEMD of Genetic Algorithm and Neural Network,” Computational Intelligence in Electrical Engineering, vol. 9, no. 1, pp. 15-28, 2018.
  • S. Sheykhivand, T. Yousefi Rezaii, Z. Mousavi, S. Meshgini, “Automatic Stage Scoring of Single-Channel Sleep EEG using Discrete Wavelet Transform and a Hybrid Model of Simulated Annealing Algorithm and Neural Network,” Iranian Journal of Biomedical Engineering, vol. 11, no. 4, pp. 313-325, 2018.
  • R. Keshavarzian, A. Aghagolzadeh, T. Yousefi Rezaii, “Accelerated Proximal Gradient Method for Image Compressed Sensing Recovery Using Nonlocal Sparsity,” Iranian Conference on Electrical Engineering (ICEE), pp. 440-445, Iran, 2018.
  • M. R. G. Aghdam, T. Yousefi Rezaii, “An Adaptive Method for Under-Sampling of Mri Images Based On Compressive Sensing,” Processing vol. 3, no.  1, pp. 17-28, 2018.
  • S. Sheykhivand, T. Yousefi Rezaii, A. Farzamnia, M. Vazifehkhahi, “Sleep Stage Scoring of Single-Channel EEG Signal based on RUSBoost Classifier,” 2018 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET), Malaysia, 2018.
  • M. Abdollahpour, T. Yousefi Rezaii, A. Farzamnia, S. Meshgini, “Sleep Stage Classification Using Dempster-Shafer Theory for Classifier Fusion,” 2018 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET), Malaysia, 2018.
  • S. N. Adnani, M. A. Tinati, G. Azarnia, T. Yousefi Rezaii, “Energy-efficient data reconstruction algorithm for spatially-and temporally correlated data in wireless sensor networks,” IET Signal Processing, vol. 12, no. 8, pp. 1053-1062, 2018.
  • S. Eftekharifar, T. Yousefi Rezaii, S. Daneshvar, A. Rastegarnia, A. Khalili, “Multi-lead ECG Compression Based on Compressed Sensing Theory,” Computational Intelligence in Electrical Engineering, vol. 8, no. 2, pp. 13-24, 2017.

2017

  • S. Sheykhivand, T. Yousefi Rezaii, A. N. Saatlo, N. Romooz, “Comparison Between Different Methods of Feature Extraction in BCI Systems Based on SSVEP,” International Journal of Industrial Mathematics, vol. 9, no. 4, pp. 341-347, 2017.
  • A. Khalili, A. Rastegarnia, M. K. Islam, T. Yousefi Rezaii, “Steady-state tracking analysis of adaptive filter with maximum correntropy criterion,” Circuits, Systems, and Signal Processing vol. 36, no. 4, pp. 1725-1734, 2017.
  • G. Azarnia, M. A. Tinati, T. Yousefi Rezaii, “Cooperative and distributed algorithm for compressed sensing recovery in WSNs” IET Signal Processing, vol. 12, no. 3, pp. 346-357, 2017.
  • A. A. Gharbali, J. M. Fonseca, S. Najdi, T. Yousefi Rezaii, “Automatic EOG and EMG Artifact Removal Method for Sleep Stage Classification,” Technological Innovation for Cyber-Physical Systems, 142-150, 2017.