Bayesian compressive sensing using wavelet based Markov random fields. - Razieh Torkamani; Ramazan Ali Sadeghzadeh (Signal Process. Image Commun., 2017)

Model-Based Bayesian Compressive Sensing of Non-stationary Images Using a Wavelet-Domain Triplet Markov Fields Model. - Razieh Torkamani; Ramazan Ali Sadeghzadeh (Circuits Syst. Signal Process., 2021)

Model-based decentralized Bayesian algorithm for distributed compressed sensing. - Razieh Torkamani; Hadi Zayyani; Ramazan Ali Sadeghzadeh (Signal Process. Image Commun., 2021)

Statistical Graph Signal Recovery Using Variational Bayes. - Razieh Torkamani; Hadi Zayyani (IEEE Trans. Circuits Syst. II Express Briefs, 2021)

Joint Topology Learning and Graph Signal Recovery Using Variational Bayes in Non-Gaussian Noise. - Razieh Torkamani; Hadi Zayyani; Farokh Marvasti (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

Proportionate Adaptive Graph Signal Recovery. - Razieh Torkamani; Hadi Zayyani; Mehdi Korki (IEEE Trans. Signal Inf. Process. over Networks, 2023)

Graph signal recovery using variational Bayes in Fourier pairs with Cramér-Rao bounds. - Razieh Torkamani; Arash Amini; Hadi Zayyani; Mehdi Korki (Signal Process., 2024)

Robust adaptive generalized correntropy-based smoothed graph signal recovery with a kernel width learning. - Razieh Torkamani; Hadi Zayyani; Mehdi Korki; Farokh Marvasti (Signal Image Video Process., 2025)

Joint Distributed Estimation and Random Gain Channel Estimation With Beta Prior. - Hadi Zayyani; Mehdi Korki; Razieh Torkamani (IEEE Commun. Lett., 2025)