| Bayesian compressive sensing using wavelet based Markov random fields R Torkamani, RA Sadeghzadeh Signal Processing: Image Communication 58, 65-72, 2017 | 21 | 2017 |
| Statistical graph signal recovery using variational bayes R Torkamani, H Zayyani IEEE Transactions on Circuits and Systems II: Express Briefs 68 (6), 2232-2236, 2020 | 14 | 2020 |
| Proportionate adaptive graph signal recovery R Torkamani, H Zayyani, M Korki IEEE Transactions on Signal and Information Processing over Networks 9, 386-396, 2023 | 12 | 2023 |
| Joint topology learning and graph signal recovery using variational Bayes in non-Gaussian noise R Torkamani, H Zayyani, F Marvasti IEEE Transactions on Circuits and Systems II: Express Briefs 69 (3), 1887-1891, 2021 | 12 | 2021 |
| Wavelet-based Bayesian algorithm for distributed compressed sensing R Torkamani, RA Sadeghzadeh Information Systems & Telecommunication, 87, 2019 | 11 | 2019 |
| Robust adaptive generalized correntropy-based smoothed graph signal recovery with a kernel width learning R Torkamani, H Zayyani, M Korki, F Marvasti Signal, Image and Video Processing 19 (1), 1-14, 2025 | 7 | 2025 |
| Model-based decentralized Bayesian algorithm for distributed compressed sensing R Torkamani, H Zayyani, RA Sadeghzadeh Signal Processing: Image Communication 95, 116212, 2021 | 7 | 2021 |
| Graph signal recovery using variational Bayes in Fourier pairs with Cramér–Rao bounds R Torkamani, A Amini, H Zayyani, M Korki Signal Processing 219, 109394, 2024 | 1 | 2024 |
| Model-Based Bayesian Compressive Sensing of Non-stationary Images Using a Wavelet-Domain Triplet Markov Fields Model R Torkamani, RA Sadeghzadeh Circuits, Systems, and Signal Processing 40 (1), 438-465, 2021 | 1 | 2021 |
Hadi zayyaniAssociate Professor, Qom University of TechnologyVerified email at qut.ac.ir