A MAP-Based Order Estimation Procedure for Sparse Channel Estimation. - Sajad Daei; Massoud Babaie-Zadeh; Christian Jutten (LVA/ICA, 2015)

How to exploit prior information in low-complexity models. - Sajad Daei; Farzan Haddadi (CoRR, 2017)

Off-the-grid Two-Dimensional Line Spectral Estimation With Prior Information. - Iman Valiulahi; Hamid Fathi; Sajad Daei; Farzan Haddadi (CoRR, 2017)

Optimal Exploitation of Subspace Prior Information in Matrix Sensing. - Sajad Daei; Farzan Haddadi; Arash Amini (CoRR, 2018)

Sample Complexity of Total Variation Minimization. - Sajad Daei; Farzan Haddadi; Arash Amini (IEEE Signal Process. Lett., 2018)

A Greedy Algorithm for Matrix Recovery with Subspace Prior Information. - Hamideh S. Fazael Ardakani; Sajad Daei; Farzan Haddadi (CoRR, 2019)

Improved Recovery of Analysis Sparse Vectors in Presence of Prior Information. - Sajad Daei; Farzan Haddadi; Arash Amini (IEEE Signal Process. Lett., 2019)

Distribution-Aware Block-Sparse Recovery via Convex Optimization. - Sajad Daei; Farzan Haddadi; Arash Amini (IEEE Signal Process. Lett., 2019)

On the Error in Phase Transition Computations for Compressed Sensing. - Sajad Daei; Farzan Haddadi; Arash Amini; Martin Lotz (IEEE Trans. Inf. Theory, 2019)

Exploiting Prior Information in Block-Sparse Signals. - Sajad Daei; Farzan Haddadi; Arash Amini (IEEE Trans. Signal Process., 2019)

Two-Dimensional Super-Resolution via Convex Relaxation. - Iman Valiulahi; Sajad Daei; Farzan Haddadi; Farzad Parvaresh (IEEE Trans. Signal Process., 2019)

An Optimal Hybrid Nuclear Norm Regularization for Matrix Sensing With Subspace Prior Information. - Siavash Bayat; Sajad Daei (IEEE Access, 2020)

Reconstruction of Binary Shapes From Blurred Images via Hankel-Structured Low-Rank Matrix Recovery. - Saeed Razavikia; Arash Amini; Sajad Daei (IEEE Trans. Image Process., 2020)

Living Near the Edge: A Lower-Bound on the Phase Transition of Total Variation Minimization. - Sajad Daei; Farzan Haddadi; Arash Amini (IEEE Trans. Inf. Theory, 2020)

Multi-weight Matrix Completion with Arbitrary Subspace Prior Information. - Hamideh Sadat Fazael Ardakani; Niloufar Rahmani; Sajad Daei (CoRR, 2021)

Off-the-grid recovery of time and frequency shifts with multiple measurement vectors. - Maral Safari; Sajad Daei; Farzan Haddadi (Signal Process., 2021)

Blind Two-Dimensional Super-Resolution in Multiple-Input Single-Output Linear Systems. - Shahedeh Sayyari; Sajad Daei; Farzan Haddadi (IEEE Signal Process. Lett., 2021)

Separating Radar Signals From Impulsive Noise Using Atomic Norm Minimization. - Siavash Bayat; Sajad Daei (IEEE Trans. Circuits Syst. II Express Briefs, 2021)

Distribution-aware 𝓁1 Analysis Minimization. - Raziyeh Takbiri; Sajad Daei (CoRR, 2022)

Adaptive recovery of dictionary-sparse signals using binary measurements. - Hossein Beheshti; Sajad Daei; Farzan Haddadi (EURASIP J. Adv. Signal Process., 2022)

A Novel Demixing Algorithm for Joint Target Detection and Impulsive Noise Suppression. - Mohammadreza Seidi; Saeed Razavikia; Sajad Daei; Joachim Oberhammer (IEEE Commun. Lett., 2022)

Active User Detection and Channel Estimation for Spatial-Based Random Access in Crowded Massive MIMO Systems via Blind Super-Resolution. - Abolghasem Afshar; Vahid Tabataba Vakili; Sajad Daei (IEEE Signal Process. Lett., 2022)

Multi-Weight Nuclear Norm Minimization for Low-Rank Matrix Recovery in Presence of Subspace Prior Information. - Hamideh Sadat Fazael Ardakani; Sajad Daei; Farzan Haddadi (IEEE Trans. Signal Process., 2022)

Off-the-grid Blind Deconvolution and Demixing. - Saeed Razavikia; Sajad Daei; Mikael Skoglund; Gábor Fodor 001; Carlo Fischione (GLOBECOM, 2023)

Multi-User Distributed Computing Via Compressed Sensing. - Ali Khalesi; Sajad Daei; Marios Kountouris; Petros Elia (ITW, 2023)

Blind Asynchronous Goal-Oriented Detection for Massive Connectivity. - Sajad Daei; Saeed Razavikia; Marios Kountouris; Mikael Skoglund; Gábor Fodor 001; Carlo Fischione (WiOpt, 2023)

Demixing Sines and Spikes Using Multiple Measurement Vectors. - Hoomaan Maskan; Sajad Daei; Mohammad Hossein Kahaei (Signal Process., 2023)

Blind Goal-Oriented Massive Access for Future Wireless Networks. - Sajad Daei; Marios Kountouris (IEEE Trans. Signal Process., 2023)

A novel blind spatial-based random access to pilots (BSB-RAP) in overloaded massive MIMO systems. - Abolghasem Afshar; Vahid Tabataba Vakili; Sajad Daei (Phys. Commun., 2023)

Communication-Efficient Distributed Computing via Matrix Factorization. - Seif Hussein; Saeed Razavikia; Sajad Daei; Carlo Fischione (IEEECONF, 2024)

Optimal Transmitter Design and Pilot Spacing in MIMO Non-Stationary Aging Channels. - Sajad Daei; Gábor Fodor 001; Mikael Skoglund (EUSIPCO, 2024)

Multi-Task Private Semantic Communication. - Amirreza Zamani; Sajad Daei; Tobias J. Oechtering; Mikael Skoglund (ISIT, 2024)

Improved Downlink Channel Estimation in Time-Varying FDD Massive MIMO Systems. - Sajad Daei; Mikael Skoglund; Gábor Fodor 001 (SPAWC, 2024)

Subspace-Informed Matrix Completion. - Hamideh Sadat Fazael Ardakani; Sajad Daei; Arash Amini; Mikael Skoglund; Gábor Fodor 001 (CoRR, 2024)

Near-Field ISAC in 6G: Addressing Phase Nonlinearity via Lifted Super-Resolution. - Sajad Daei; Amirreza Zamani; Saikat Chatterjee; Mikael Skoglund; Gábor Fodor 001 (ICASSP, 2025)

One Target, Many Views: Multi-User Fusion for Collaborative Uplink ISAC. - Sajad Daei; Gábor Fodor 001; Mikael Skoglund (WiOpt, 2025)

Toward Optimal Pilot Spacing and Power Control in Multi-Antenna Systems Operating Over Non-Stationary Rician Aging Channels. - Sajad Daei; Gábor Fodor 001; Mikael Skoglund; Miklós Telek (IEEE Trans. Commun., 2025)

Timely and Painless Breakups: Off-the-Grid Blind Message Recovery and Users' Demixing. - Sajad Daei; Saeed Razavikia; Mikael Skoglund; Gábor Fodor 001; Carlo Fischione (IEEE Trans. Inf. Theory, 2025)