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ORCIDSajad Daei
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2020 – today
- 2026
[j23]Raziyeh Takbiri, Sajad Daei
, Mikael Skoglund, Gábor Fodor:
Measuring less, recovering more: Distribution-aware weighted ℓ1 analysis. Signal Process. 247: 110673 (2026)- [j22]Sajad Daei, Gábor Fodor, Mikael Skoglund:
Exploiting Spatial and Temporal Correlations in Massive MIMO Systems Operating Over Non-Stationary Aging Channels. IEEE Trans. Wirel. Commun. 25: 8308-8325 (2026) - [i27]Amirreza Zamani, Sajad Daei, Parastoo Sadeghi, Mikael Skoglund:
Sparse Point-wise Privacy Leakage: Mechanism Design and Fundamental Limits. CoRR abs/2601.07523 (2026) - [i26]Sajad Daei, Gábor Fodor, Mikael Skoglund:
Convexity Meets Curvature: Lifted Near-Field Super-Resolution. CoRR abs/2602.14063 (2026) - [i25]Amirreza Zamani, Sajad Daei, Parastoo Sadeghi, Mikael Skoglund:
Sparse Discrete Laplace and Gaussian Mechanisms under Local Differential Privacy. CoRR abs/2605.09561 (2026) - 2025
- [j21]Sajad Daei, Gábor Fodor, Mikael Skoglund, Miklós Telek:
Toward Optimal Pilot Spacing and Power Control in Multi-Antenna Systems Operating Over Non-Stationary Rician Aging Channels. IEEE Trans. Commun. 73(6): 3761-3777 (2025) - [j20]Sajad Daei, Saeed Razavikia, Mikael Skoglund, Gábor Fodor, Carlo Fischione:
Timely and Painless Breakups: Off-the-Grid Blind Message Recovery and Users' Demixing. IEEE Trans. Inf. Theory 71(7): 5226-5257 (2025) - [c13]Dongtao Yang, Sajad Daei, Yonghui Li, Mahyar Shirvanimoghaddam:
Enabling Massive Connectivity of Stationary IoT Devices via 2D Blind Goal-Oriented Detection. GLOBECOM 2025: 3031-3036 - [c12]Sajad Daei, Gábor Fodor, Mikael Skoglund:
When Near Becomes Far: From Rayleigh to Optimal Near-Field and Far-Field Boundaries. GLOBECOM 2025: 3586-3592 - [c11]Sajad Daei, Amirreza Zamani, Saikat Chatterjee, Mikael Skoglund, Gábor Fodor:
Near-Field ISAC in 6G: Addressing Phase Nonlinearity via Lifted Super-Resolution. ICASSP 2025: 1-5 - [c10]Amirreza Zamani, Sajad Daei, Abolfazl Changizi, Mikael Skoglund:
A Unified Framework for Joint Semantic and Privacy Design Under Bounded Leakage. SPAWC 2025: 1-5 - [c9]Sajad Daei, Gábor Fodor, Mikael Skoglund:
One Target, Many Views: Multi-User Fusion for Collaborative Uplink ISAC. WiOpt 2025: 53-60 - 2024
- [c8]Seif Hussein, Saeed Razavikia, Sajad Daei, Carlo Fischione:
Communication-Efficient Distributed Computing via Matrix Factorization. IEEECONF 2024: 1453-1460 - [c7]Sajad Daei, Gábor Fodor, Mikael Skoglund:
Optimal Transmitter Design and Pilot Spacing in MIMO Non-Stationary Aging Channels. EUSIPCO 2024: 2127-2131 - [c6]Amirreza Zamani, Sajad Daei, Tobias J. Oechtering, Mikael Skoglund:
Multi-Task Private Semantic Communication. ISIT 2024: 3480-3485 - [c5]Sajad Daei, Mikael Skoglund, Gábor Fodor:
Improved Downlink Channel Estimation in Time-Varying FDD Massive MIMO Systems. SPAWC 2024: 571-575 - [i24]Hamideh Sadat Fazael Ardakani, Sajad Daei, Arash Amini, Mikael Skoglund, Gábor Fodor:
Subspace-Informed Matrix Completion. CoRR abs/2405.07890 (2024) - [i23]Sajad Daei, Gábor Fodor, Mikael Skoglund:
Optimal Transmitter Design and Pilot Spacing in MIMO Non-Stationary Aging Channels. CoRR abs/2405.07895 (2024) - [i22]Amirreza Zamani, Sajad Daei, Tobias J. Oechtering, Mikael Skoglund:
Multi-Task Private Semantic Communication. CoRR abs/2405.08709 (2024) - [i21]Sajad Daei, Saeed Razavikia, Mikael Skoglund, Gábor Fodor, Carlo Fischione:
Timely and Painless Breakups: Off-the-grid Blind Message Recovery and Users' Demixing. CoRR abs/2406.17393 (2024) - 2023
- [j19]Abolghasem Afshar, Vahid Tabataba Vakili, Sajad Daei:
A novel blind spatial-based random access to pilots (BSB-RAP) in overloaded massive MIMO systems. Phys. Commun. 57: 101999 (2023) - [j18]Hoomaan Maskan, Sajad Daei, Mohammad Hossein Kahaei:
Demixing Sines and Spikes Using Multiple Measurement Vectors. Signal Process. 203: 108786 (2023) - [j17]Sajad Daei, Marios Kountouris:
Blind Goal-Oriented Massive Access for Future Wireless Networks. IEEE Trans. Signal Process. 71: 901-916 (2023) - [c4]Saeed Razavikia, Sajad Daei, Mikael Skoglund, Gábor Fodor, Carlo Fischione:
Off-the-grid Blind Deconvolution and Demixing. GLOBECOM 2023: 7604-7610 - [c3]Ali Khalesi, Sajad Daei, Marios Kountouris, Petros Elia:
Multi-User Distributed Computing Via Compressed Sensing. ITW 2023: 509-514 - [c2]Sajad Daei, Saeed Razavikia, Marios Kountouris, Mikael Skoglund, Gábor Fodor, Carlo Fischione:
Blind Asynchronous Goal-Oriented Detection for Massive Connectivity. WiOpt 2023: 167-174 - [i20]Ali Khalesi, Sajad Daei, Marios Kountouris, Petros Elia:
Multi-User Distributed Computing Via Compressed Sensing. CoRR abs/2301.03448 (2023) - [i19]Saeed Razavikia, Sajad Daei, Mikael Skoglund, Gábor Fodor, Carlo Fischione:
Off-the-grid Blind Deconvolution and Demixing. CoRR abs/2308.03518 (2023) - 2022
- [j16]Hossein Beheshti, Sajad Daei, Farzan Haddadi:
Adaptive recovery of dictionary-sparse signals using binary measurements. EURASIP J. Adv. Signal Process. 2022(1): 49 (2022) - [j15]Mohammadreza Seidi, Saeed Razavikia, Sajad Daei, Joachim Oberhammer:
A Novel Demixing Algorithm for Joint Target Detection and Impulsive Noise Suppression. IEEE Commun. Lett. 26(11): 2750-2754 (2022) - [j14]Abolghasem Afshar, Vahid Tabataba Vakili, Sajad Daei:
Active User Detection and Channel Estimation for Spatial-Based Random Access in Crowded Massive MIMO Systems via Blind Super-Resolution. IEEE Signal Process. Lett. 29: 1072-1076 (2022) - [j13]Hamideh Sadat Fazael Ardakani, Sajad Daei, Farzan Haddadi:
Multi-Weight Nuclear Norm Minimization for Low-Rank Matrix Recovery in Presence of Subspace Prior Information. IEEE Trans. Signal Process. 70: 3000-3010 (2022) - [i18]Sajad Daei, Marios Kountouris:
Blind Goal-Oriented Massive Access for Future Wireless Networks. CoRR abs/2205.07092 (2022) - [i17]Raziyeh Takbiri, Sajad Daei:
Distribution-aware 𝓁1 Analysis Minimization. CoRR abs/2212.13582 (2022) - 2021
- [j12]Maral Safari, Sajad Daei, Farzan Haddadi:
Off-the-grid recovery of time and frequency shifts with multiple measurement vectors. Signal Process. 183: 108016 (2021) - [j11]Shahedeh Sayyari, Sajad Daei, Farzan Haddadi:
Blind Two-Dimensional Super-Resolution in Multiple-Input Single-Output Linear Systems. IEEE Signal Process. Lett. 28: 583-587 (2021) - [j10]Siavash Bayat, Sajad Daei:
Separating Radar Signals From Impulsive Noise Using Atomic Norm Minimization. IEEE Trans. Circuits Syst. II Express Briefs 68(6): 2212-2216 (2021) - [i16]Abolghasem Afshar, Vahid Tabataba Vakili, Sajad Daei:
Active User Detection and Channel Estimation for Spatial-based Random Access in Crowded Massive MIMO Systems via Blind Super-resolution. CoRR abs/2108.09498 (2021) - [i15]Hamideh Sadat Fazael Ardakani, Niloufar Rahmani, Sajad Daei:
Multi-weight Matrix Completion with Arbitrary Subspace Prior Information. CoRR abs/2111.00235 (2021) - 2020
- [j9]Siavash Bayat, Sajad Daei:
An Optimal Hybrid Nuclear Norm Regularization for Matrix Sensing With Subspace Prior Information. IEEE Access 8: 130937-130946 (2020) - [j8]Saeed Razavikia, Arash Amini, Sajad Daei:
Reconstruction of Binary Shapes From Blurred Images via Hankel-Structured Low-Rank Matrix Recovery. IEEE Trans. Image Process. 29: 2452-2462 (2020) - [j7]Sajad Daei, Farzan Haddadi, Arash Amini:
Living Near the Edge: A Lower-Bound on the Phase Transition of Total Variation Minimization. IEEE Trans. Inf. Theory 66(5): 3261-3267 (2020) - [i14]Hamideh Sadat Fazael Ardakani, Sajad Daei, Farzan Haddadi:
Multi-weight Nuclear Norm Minimization for Low-rank Matrix Recovery in Presence of Subspace Prior Information. CoRR abs/2005.10878 (2020) - [i13]Shahedeh Sayyari, Sajad Daei, Farzan Haddadi:
Blind Two-Dimensional Super Resolution in Multiple Input Single Output Linear Systems. CoRR abs/2005.10882 (2020)
2010 – 2019
- 2019
- [j6]Sajad Daei, Farzan Haddadi, Arash Amini:
Improved Recovery of Analysis Sparse Vectors in Presence of Prior Information. IEEE Signal Process. Lett. 26(2): 222-226 (2019) - [j5]Sajad Daei, Farzan Haddadi, Arash Amini:
Distribution-Aware Block-Sparse Recovery via Convex Optimization. IEEE Signal Process. Lett. 26(4): 528-532 (2019) - [j4]Sajad Daei, Farzan Haddadi, Arash Amini, Martin Lotz:
On the Error in Phase Transition Computations for Compressed Sensing. IEEE Trans. Inf. Theory 65(10): 6620-6632 (2019) - [j3]Iman Valiulahi, Sajad Daei, Farzan Haddadi, Farzad Parvaresh:
Two-Dimensional Super-Resolution via Convex Relaxation. IEEE Trans. Signal Process. 67(13): 3372-3382 (2019) - [j2]Sajad Daei, Farzan Haddadi, Arash Amini:
Exploiting Prior Information in Block-Sparse Signals. IEEE Trans. Signal Process. 67(19): 5093-5102 (2019) - [i12]Hamideh S. Fazael Ardakani, Sajad Daei, Farzan Haddadi:
A Greedy Algorithm for Matrix Recovery with Subspace Prior Information. CoRR abs/1907.11868 (2019) - [i11]Sajad Daei, Farzan Haddadi, Arash Amini:
Living near the edge: A lower-bound on the phase transition of total variation minimization. CoRR abs/1909.03392 (2019) - [i10]Maral Safari, Sajad Daei, Farzan Haddadi:
Off-the-grid Recovery of Time and Frequency Shifts with Multiple Measurement Vectors. CoRR abs/1910.13821 (2019) - 2018
- [j1]Sajad Daei, Farzan Haddadi, Arash Amini:
Sample Complexity of Total Variation Minimization. IEEE Signal Process. Lett. 25(8): 1151-1155 (2018) - [i9]Sajad Daei, Farzan Haddadi, Arash Amini:
Sample Complexity of Total Variation Minimization. CoRR abs/1803.03030 (2018) - [i8]Sajad Daei, Farzan Haddadi, Arash Amini:
Exploiting Prior Information in Block Sparse Signals. CoRR abs/1804.08444 (2018) - [i7]Sajad Daei, Farzan Haddadi, Arash Amini, Martin Lotz:
On the Error in Phase Transition Computations for Compressed Sensing. CoRR abs/1806.10583 (2018) - [i6]Sajad Daei, Farzan Haddadi, Arash Amini:
Improved Recovery of Analysis Sparse Vectors in Presence of Prior Information. CoRR abs/1808.04107 (2018) - [i5]Sajad Daei, Farzan Haddadi, Arash Amini:
Distribution-aware Block-sparse Recovery via Convex Optimization. CoRR abs/1809.03005 (2018) - [i4]Sajad Daei, Farzan Haddadi, Arash Amini:
Optimal Exploitation of Subspace Prior Information in Matrix Sensing. CoRR abs/1809.10356 (2018) - 2017
- [i3]Sajad Daei, Farzan Haddadi:
How to exploit prior information in low-complexity models. CoRR abs/1704.05397 (2017) - [i2]Iman Valiulahi, Hamid Fathi, Sajad Daei, Farzan Haddadi:
Off-the-grid Two-Dimensional Line Spectral Estimation With Prior Information. CoRR abs/1704.06922 (2017) - [i1]Iman Valiulahi, Sajad Daei, Farzan Haddadi, Farzad Parvaresh:
Two-Dimensional Super-Resolution via Convex Relaxation. CoRR abs/1711.08239 (2017) - 2015
- [c1]Sajad Daei, Massoud Babaie-Zadeh, Christian Jutten:
A MAP-Based Order Estimation Procedure for Sparse Channel Estimation. LVA/ICA 2015: 344-351
Coauthor Index
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