Saeid Haghighatshoar

Orcid: 0000-0002-9063-3105

According to our database1, Saeid Haghighatshoar authored at least 59 papers between 2012 and 2024.

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Bibliography

2024
Low-power SNN-based audio source localisation using a Hilbert Transform spike encoding scheme.
CoRR, 2024

2023
Structured channel covariance estimation from limited samples for large antenna arrays.
EURASIP J. Wirel. Commun. Netw., December, 2023

Exact Gradient Computation for Spiking Neural Networks via Forward Propagation.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Dual-Polarized FDD Massive MIMO: A Comprehensive Framework.
IEEE Trans. Wirel. Commun., 2022

Exact Gradient Computation for Spiking Neural Networks Through Forward Propagation.
CoRR, 2022

EXODUS: Stable and Efficient Training of Spiking Neural Networks.
CoRR, 2022

2021
Non-Bayesian Activity Detection, Large-Scale Fading Coefficient Estimation, and Unsourced Random Access With a Massive MIMO Receiver.
IEEE Trans. Inf. Theory, 2021

2020
Active Channel Sparsification and Precoding for Dual-Polarized FDD Massive MIMO.
Proceedings of the 24th International ITG Workshop on Smart Antennas, 2020

Structured Channel Covariance Estimation for Dual-Polarized Massive MIMO Arrays.
Proceedings of the 24th International ITG Workshop on Smart Antennas, 2020

Structured Channel Covariance Estimation from Limited Samples in Massive MIMO.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

Deep Learning for Geometrically-Consistent Angular Power Spread Function Estimation in Massive MIMO.
Proceedings of the IEEE Global Communications Conference, 2020

Joint Approximate Covariance Diagonalization with Applications in MIMO Virtual Beam Design.
Proceedings of the IEEE Global Communications Conference, 2020

2019
Efficient Beam Alignment for Millimeter Wave Single-Carrier Systems With Hybrid MIMO Transceivers.
IEEE Trans. Wirel. Commun., 2019

FDD Massive MIMO via UL/DL Channel Covariance Extrapolation and Active Channel Sparsification.
IEEE Trans. Wirel. Commun., 2019

Machine Learning for Geometrically-Consistent Angular Spread Function Estimation in Massive MIMO.
CoRR, 2019

Massive MIMO Unsourced Random Access.
CoRR, 2019

Uplink-Downlink Channel Covariance Transformations and Precoding Design for FDD Massive MIMO.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

Grant-Free Massive Random Access With a Massive MIMO Receiver.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018
A Scalable and Statistically Robust Beam Alignment Technique for Millimeter-Wave Systems.
IEEE Trans. Wirel. Commun., 2018

Low-Complexity Statistically Robust Precoder/Detector Computation for Massive MIMO Systems.
IEEE Trans. Wirel. Commun., 2018

Low-Complexity Massive MIMO Subspace Estimation and Tracking From Low-Dimensional Projections.
IEEE Trans. Signal Process., 2018

Signal Recovery From Unlabeled Samples.
IEEE Trans. Signal Process., 2018

Unlabeled Sensing With Random Linear Measurements.
IEEE Trans. Inf. Theory, 2018

Multiple Measurement Vectors Problem: A Decoupling Property and its Applications.
CoRR, 2018

Efficient Beam Alignment for mmWave Single-Carrier Systems with Hybrid MIMO Transceivers.
CoRR, 2018

Hierarchical Sparse Channel Estimation for Massive MIMO.
Proceedings of the 22nd International ITG Workshop on Smart Antennas, 2018

A Robust Time-Domain Beam Alignment Scheme for Multi-User Wideband mmWave Systems.
Proceedings of the 22nd International ITG Workshop on Smart Antennas, 2018

Low-complexity and Statistically Robust Beamformer Design for Massive MIMO Systems.
Proceedings of the 22nd International ITG Workshop on Smart Antennas, 2018

How to Achieve Massive MIMO Gains in FDD Systems?
Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018

Multi-Band Covariance Interpolation with Applications in Massive MIMO.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Improved Scaling Law for Activity Detection in Massive MIMO Systems.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Theoretical Bounds on MAP Estimation in Distributed Sensing Networks.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

An Efficient CS-Based and Statistically Robust Beam Alignment Scheme for mmWave Systems.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

FDD Massive MIMO: Efficient Downlink Probing and Uplink Feedback via Active Channel Sparsification.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

2017
Massive MIMO Pilot Decontamination and Channel Interpolation via Wideband Sparse Channel Estimation.
IEEE Trans. Wirel. Commun., 2017

Massive MIMO Channel Subspace Estimation From Low-Dimensional Projections.
IEEE Trans. Signal Process., 2017

Polarization of the Rényi Information Dimension With Applications to Compressed Sensing.
IEEE Trans. Inf. Theory, 2017

A Scalable and Statistically Robust Beam Alignment Technique for mm-Wave Systems.
CoRR, 2017

Efficient Downlink Channel Probing and Uplink Feedback in FDD Massive MIMO Systems.
CoRR, 2017

Compressive estimation of a stochastic process with unknown autocorrelation function.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Low-complexity massive MIMO subspace tracking from low-dimensional projections.
Proceedings of the IEEE International Conference on Communications, 2017

2016
Binary Sparse Coding of Convolutive Mixtures for Sound Localization and Separation via Spatialization.
IEEE Trans. Signal Process., 2016

Enhancing the Estimation of mm-Wave Large Array Channels by Exploiting Spatio-Temporal Correlation and Sparse Scattering.
Proceedings of the WSA 2016, 2016

Capacity and degree-of-freedom of OFDM channels with amplitude constraint.
Proceedings of the IEEE International Symposium on Information Theory, 2016

Pilot decontamination through compressive wideband channel estimation.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

The beam alignment problem in mmWave wireless networks.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015
A Fast Hadamard Transform for Signals With Sublinear Sparsity in the Transform Domain.
IEEE Trans. Inf. Theory, 2015

Spatial Sound Localization via Multipath Euclidean Distance Matrix Recovery.
IEEE J. Sel. Top. Signal Process., 2015

An Active-Sensing Approach to Channel Vector Subspace Estimation in mm-Wave Massive MIMO Systems.
CoRR, 2015

Channel Vector Subspace Estimation from Low-Dimensional Projections.
CoRR, 2015

Asynchronous decoding of LDPC codes over BEC.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Robust microphone placement for source localization from noisy distance measurements.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Unlabeled sensing: Solving a linear system with unordered measurements.
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

2014
Compressed Sensing of Memoryless Sources - A Deterministic Hadamard Construction.
PhD thesis, 2014

A New Entropy Power Inequality for Integer-Valued Random Variables.
IEEE Trans. Inf. Theory, 2014

Multi terminal probabilistic compressed sensing.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

2013
Polarization of the Rényi information dimension for single and multi terminal analog compression.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

A fast Hadamard transform for signals with sub-linear sparsity.
Proceedings of the 51st Annual Allerton Conference on Communication, 2013

2012
Adaptive sensing using deterministic partial Hadamard matrices.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012


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