Sajad Daei

According to our database, Sajad Daei authored at least 34 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Timely and Painless Breakups: Off-the-grid Blind Message Recovery and Users' Demixing.

Sajad Daei, Saeed Razavikia, Mikael Skoglund, Gábor Fodor, Carlo Fischione

CoRR, 2024

Subspace-Informed Matrix Completion.

Hamideh Sadat Fazael Ardakani, Sajad Daei, Arash Amini, Mikael Skoglund, Gábor Fodor

CoRR, 2024

Improved Downlink Channel Estimation in Time-Varying FDD Massive MIMO Systems.

Sajad Daei, Mikael Skoglund, Gábor Fodor

Proceedings of the 25th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2024

Multi-Task Private Semantic Communication.

Amirreza Zamani, Sajad Daei, Tobias J. Oechtering, Mikael Skoglund

Proceedings of the IEEE International Symposium on Information Theory, 2024

Optimal Transmitter Design and Pilot Spacing in MIMO Non-Stationary Aging Channels.

Sajad Daei, Gábor Fodor, Mikael Skoglund

Proceedings of the 32nd European Signal Processing Conference, 2024

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., April, 2023

Blind Goal-Oriented Massive Access for Future Wireless Networks.

Sajad Daei, Marios Kountouris

IEEE Trans. Signal Process., 2023

Demixing Sines and Spikes Using Multiple Measurement Vectors.

Hoomaan Maskan, Sajad Daei, Mohammad Hossein Kahaei

Signal Process., 2023

Blind Asynchronous Goal-Oriented Detection for Massive Connectivity.

Sajad Daei, Saeed Razavikia, Marios Kountouris, Mikael Skoglund, Gábor Fodor, Carlo Fischione

Proceedings of the 21st International Symposium on Modeling and Optimization in Mobile, 2023

Multi-User Distributed Computing Via Compressed Sensing.

Ali Khalesi, Sajad Daei, Marios Kountouris, Petros Elia

Proceedings of the IEEE Information Theory Workshop, 2023

Off-the-grid Blind Deconvolution and Demixing.

Saeed Razavikia, Sajad Daei, Mikael Skoglund, Gábor Fodor, Carlo Fischione

Proceedings of the IEEE Global Communications Conference, 2023

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

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

A Novel Demixing Algorithm for Joint Target Detection and Impulsive Noise Suppression.

Mohammadreza Seidi, Saeed Razavikia, Sajad Daei, Joachim Oberhammer

IEEE Commun. Lett., 2022

Adaptive recovery of dictionary-sparse signals using binary measurements.

Hossein Beheshti, Sajad Daei, Farzan Haddadi

EURASIP J. Adv. Signal Process., 2022

Distribution-aware 𝓁₁ Analysis Minimization.

Raziyeh Takbiri, Sajad Daei

CoRR, 2022

2021

Separating Radar Signals From Impulsive Noise Using Atomic Norm Minimization.

Siavash Bayat, Sajad Daei

IEEE Trans. Circuits Syst. II Express Briefs, 2021

Blind Two-Dimensional Super-Resolution in Multiple-Input Single-Output Linear Systems.

Shahedeh Sayyari, Sajad Daei, Farzan Haddadi

IEEE Signal Process. Lett., 2021

Off-the-grid recovery of time and frequency shifts with multiple measurement vectors.

Maral Safari, Sajad Daei, Farzan Haddadi

Signal Process., 2021

Multi-weight Matrix Completion with Arbitrary Subspace Prior Information.

Hamideh Sadat Fazael Ardakani, Niloufar Rahmani, Sajad Daei

CoRR, 2021

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

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

An Optimal Hybrid Nuclear Norm Regularization for Matrix Sensing With Subspace Prior Information.

Siavash Bayat, Sajad Daei

IEEE Access, 2020

2019

Two-Dimensional Super-Resolution via Convex Relaxation.

Iman Valiulahi, Sajad Daei, Farzan Haddadi, Farzad Parvaresh

IEEE Trans. Signal Process., 2019

Exploiting Prior Information in Block-Sparse Signals.

Sajad Daei, Farzan Haddadi, Arash Amini

IEEE Trans. Signal Process., 2019

On the Error in Phase Transition Computations for Compressed Sensing.

Sajad Daei, Farzan Haddadi, Arash Amini, Martin Lotz

IEEE Trans. Inf. Theory, 2019

Distribution-Aware Block-Sparse Recovery via Convex Optimization.

Sajad Daei, Farzan Haddadi, Arash Amini

IEEE Signal Process. Lett., 2019

Improved Recovery of Analysis Sparse Vectors in Presence of Prior Information.

Sajad Daei, Farzan Haddadi, Arash Amini

IEEE Signal Process. Lett., 2019

A Greedy Algorithm for Matrix Recovery with Subspace Prior Information.

Hamideh S. Fazael Ardakani, Sajad Daei, Farzan Haddadi

CoRR, 2019

2018

Sample Complexity of Total Variation Minimization.

Sajad Daei, Farzan Haddadi, Arash Amini

IEEE Signal Process. Lett., 2018

Optimal Exploitation of Subspace Prior Information in Matrix Sensing.

Sajad Daei, Farzan Haddadi, Arash Amini

CoRR, 2018

2017

Off-the-grid Two-Dimensional Line Spectral Estimation With Prior Information.

Iman Valiulahi, Hamid Fathi, Sajad Daei, Farzan Haddadi

CoRR, 2017

How to exploit prior information in low-complexity models.

Sajad Daei, Farzan Haddadi

CoRR, 2017

2015

A MAP-Based Order Estimation Procedure for Sparse Channel Estimation.

Sajad Daei, Massoud Babaie-Zadeh, Christian Jutten

Proceedings of the Latent Variable Analysis and Signal Separation, 2015