Articles with public access mandates - Saeid HaghighatshoarLearn more
Not available anywhere: 1
Massive MIMO channel subspace estimation from low-dimensional projections
S Haghighatshoar, G Caire
IEEE Transactions on Signal Processing 65 (2), 303-318, 2016
Mandates: German Research Foundation
Available somewhere: 14
Non-Bayesian activity detection, large-scale fading coefficient estimation, and unsourced random access with a massive MIMO receiver
A Fengler, S Haghighatshoar, P Jung, G Caire
IEEE Transactions on Information Theory 67 (5), 2925-2951, 2021
Mandates: German Research Foundation
Unlabeled sensing with random linear measurements
J Unnikrishnan, S Haghighatshoar, M Vetterli
IEEE Transactions on Information Theory 64 (5), 3237-3253, 2018
Mandates: Swiss National Science Foundation
Improved scaling law for activity detection in massive MIMO systems
S Haghighatshoar, P Jung, G Caire
2018 IEEE International Symposium on Information Theory (ISIT), 381-385, 2018
Mandates: German Research Foundation
FDD massive MIMO via UL/DL channel covariance extrapolation and active channel sparsification
MB Khalilsarai, S Haghighatshoar, X Yi, G Caire
IEEE Transactions on Wireless Communications 18 (1), 121-135, 2018
Mandates: German Research Foundation
Efficient beam alignment for millimeter wave single-carrier systems with hybrid MIMO transceivers
X Song, S Haghighatshoar, G Caire
IEEE Transactions on Wireless Communications 18 (3), 1518-1533, 2019
Mandates: European Commission
Grant-free massive random access with a massive MIMO receiver
A Fengler, S Haghighatshoar, P Jung, G Caire
2019 53rd Asilomar Conference on Signals, Systems, and Computers, 23-30, 2019
Mandates: German Research Foundation
Binary sparse coding of convolutive mixtures for sound localization and separation via spatialization
A Asaei, MJ Taghizadeh, S Haghighatshoar, B Raj, H Bourlard, V Cevher
IEEE Transactions on Signal Processing 64 (3), 567-579, 2015
Mandates: Swiss National Science Foundation
Hierarchical sparse channel estimation for massive MIMO
G Wunder, I Roth, M Barzegar, A Flinth, S Haghighatshoar, G Caire, ...
WSA 2018; 22nd International ITG Workshop on Smart Antennas, 1-8, 2018
Mandates: German Research Foundation, European Commission
Exodus: Stable and efficient training of spiking neural networks
FC Bauer, G Lenz, S Haghighatshoar, S Sheik
Frontiers in Neuroscience 17, 1110444, 2023
Mandates: European Commission
Dual-polarized FDD massive MIMO: A comprehensive framework
MB Khalilsarai, T Yang, S Haghighatshoar, X Yi, G Caire
IEEE Transactions on Wireless Communications 21 (2), 840-854, 2021
Mandates: German Research Foundation
Spatial sound localization via multipath euclidean distance matrix recovery
MJ Taghizadeh, A Asaei, S Haghighatshoar, PN Garner, H Bourlard
IEEE Journal of Selected Topics in Signal Processing 9 (5), 802-814, 2015
Mandates: Swiss National Science Foundation
Exact gradient computation for spiking neural networks via forward propagation
JH Lee, S Haghighatshoar, A Karbasi
International Conference on Artificial Intelligence and Statistics, 1812-1831, 2023
Mandates: US National Science Foundation, US Department of Defense
Theoretical bounds on MAP estimation in distributed sensing networks
A Bereyhi, S Haghighatshoar, RR Müller
2018 IEEE International Symposium on Information Theory (ISIT), 1385-1389, 2018
Mandates: German Research Foundation
Polarization of the Rényi Information Dimension with applications to compressed sensing
S Haghighatshoar, E Abbe
IEEE Transactions on Information Theory 63 (11), 6858-6868, 2017
Mandates: US National Science Foundation
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