Adaptive sensing using deterministic partial Hadamard matrices. - Saeid Haghighatshoar; Emmanuel Abbe; Emre Telatar (ISIT, 2012)

A fast Hadamard transform for signals with sub-linear sparsity. - Robin Scheibler; Saeid Haghighatshoar; Martin Vetterli (Allerton, 2013)

Polarization of the Rényi information dimension for single and multi terminal analog compression. - Saeid Haghighatshoar; Emmanuel Abbe (ISIT, 2013)

Multi terminal probabilistic compressed sensing. - Saeid Haghighatshoar (ISIT, 2014)

A New Entropy Power Inequality for Integer-Valued Random Variables. - Saeid Haghighatshoar; Emmanuel Abbe; I. Emre Telatar (IEEE Trans. Inf. Theory, 2014)

Compressed Sensing of Memoryless Sources - A Deterministic Hadamard Construction. - Saeid Haghighatshoar (2014)

Unlabeled sensing: Solving a linear system with unordered measurements. - Jayakrishnan Unnikrishnan; Saeid Haghighatshoar; Martin Vetterli (Allerton, 2015)

Robust microphone placement for source localization from noisy distance measurements. - Mohammad Javad Taghizadeh; Saeid Haghighatshoar; Afsaneh Asaei; Philip N. Garner; Hervé Bourlard (ICASSP, 2015)

Asynchronous decoding of LDPC codes over BEC. - Saeid Haghighatshoar; Amin Karbasi; Amir Hesam Salavati (ISIT, 2015)

Channel Vector Subspace Estimation from Low-Dimensional Projections. - Saeid Haghighatshoar; Giuseppe Caire (CoRR, 2015)

An Active-Sensing Approach to Channel Vector Subspace Estimation in mm-Wave Massive MIMO Systems. - Saeid Haghighatshoar; Giuseppe Caire (CoRR, 2015)

Spatial Sound Localization via Multipath Euclidean Distance Matrix Recovery. - Mohammad Javad Taghizadeh; Afsaneh Asaei; Saeid Haghighatshoar; Philip N. Garner; Hervé Bourlard (IEEE J. Sel. Top. Signal Process., 2015)

A Fast Hadamard Transform for Signals With Sublinear Sparsity in the Transform Domain. - Robin Scheibler; Saeid Haghighatshoar; Martin Vetterli (IEEE Trans. Inf. Theory, 2015)

The beam alignment problem in mmWave wireless networks. - Saeid Haghighatshoar; Giuseppe Caire (ACSSC, 2016)

Pilot decontamination through compressive wideband channel estimation. - Saeid Haghighatshoar; Giuseppe Caire (ACSSC, 2016)

Capacity and degree-of-freedom of OFDM channels with amplitude constraint. - Saeid Haghighatshoar; Peter Jung 001; Giuseppe Caire (ISIT, 2016)

Enhancing the Estimation of mm-Wave Large Array Channels by Exploiting Spatio-Temporal Correlation and Sparse Scattering. - Saeid Haghighatshoar; Giuseppe Caire (WSA, 2016)

Binary Sparse Coding of Convolutive Mixtures for Sound Localization and Separation via Spatialization. - Afsaneh Asaei; Mohammad Javad Taghizadeh; Saeid Haghighatshoar; Bhiksha Raj; Hervé Bourlard; Volkan Cevher (IEEE Trans. Signal Process., 2016)

Low-complexity massive MIMO subspace tracking from low-dimensional projections. - Saeid Haghighatshoar; Giuseppe Caire (ICC, 2017)

Compressive estimation of a stochastic process with unknown autocorrelation function. - Mahdi Barzegar Khalilsarai; Saeid Haghighatshoar; Giuseppe Caire; Gerhard Wunder (ISIT, 2017)

Efficient Downlink Channel Probing and Uplink Feedback in FDD Massive MIMO Systems. - Mahdi Barzegar Khalilsarai; Saeid Haghighatshoar; Giuseppe Caire (CoRR, 2017)

A Scalable and Statistically Robust Beam Alignment Technique for mm-Wave Systems. - Xiaoshen Song; Saeid Haghighatshoar; Giuseppe Caire (CoRR, 2017)

Polarization of the Rényi Information Dimension With Applications to Compressed Sensing. - Saeid Haghighatshoar; Emmanuel Abbe (IEEE Trans. Inf. Theory, 2017)

Massive MIMO Channel Subspace Estimation From Low-Dimensional Projections. - Saeid Haghighatshoar; Giuseppe Caire (IEEE Trans. Signal Process., 2017)

Massive MIMO Pilot Decontamination and Channel Interpolation via Wideband Sparse Channel Estimation. - Saeid Haghighatshoar; Giuseppe Caire (IEEE Trans. Wirel. Commun., 2017)

FDD Massive MIMO: Efficient Downlink Probing and Uplink Feedback via Active Channel Sparsification. - Mahdi Barzegar Khalilsarai; Saeid Haghighatshoar; Xinping Yi; Giuseppe Caire (ICC, 2018)

An Efficient CS-Based and Statistically Robust Beam Alignment Scheme for mmWave Systems. - Xiaoshen Song; Saeid Haghighatshoar; Giuseppe Caire (ICC, 2018)

Theoretical Bounds on MAP Estimation in Distributed Sensing Networks. - Ali Bereyhi; Saeid Haghighatshoar; Ralf R. Müller (ISIT, 2018)

Improved Scaling Law for Activity Detection in Massive MIMO Systems. - Saeid Haghighatshoar; Peter Jung 001; Giuseppe Caire (ISIT, 2018)

Multi-Band Covariance Interpolation with Applications in Massive MIMO. - Saeid Haghighatshoar; Mahdi Barzegar Khalilsarai; Giuseppe Caire (ISIT, 2018)

How to Achieve Massive MIMO Gains in FDD Systems? - Mahdi Barzegar Khalilsarai; Saeid Haghighatshoar; Giuseppe Caire (SPAWC, 2018)

Low-complexity and Statistically Robust Beamformer Design for Massive MIMO Systems. - Mahdi Nouri Boroujerdi; Saeid Haghighatshoar; Giuseppe Caire (WSA, 2018)

A Robust Time-Domain Beam Alignment Scheme for Multi-User Wideband mmWave Systems. - Xiaoshen Song; Saeid Haghighatshoar; Giuseppe Caire (WSA, 2018)

Hierarchical Sparse Channel Estimation for Massive MIMO. - Gerhard Wunder; Ingo Roth; Mahdi Barzegar; Axel Flinth; Saeid Haghighatshoar; Giuseppe Caire; Gitta Kutyniok (WSA, 2018)

Efficient Beam Alignment for mmWave Single-Carrier Systems with Hybrid MIMO Transceivers. - Xiaoshen Song; Saeid Haghighatshoar; Giuseppe Caire (CoRR, 2018)

Multiple Measurement Vectors Problem: A Decoupling Property and its Applications. - Saeid Haghighatshoar; Giuseppe Caire (CoRR, 2018)

Unlabeled Sensing With Random Linear Measurements. - Jayakrishnan Unnikrishnan; Saeid Haghighatshoar; Martin Vetterli (IEEE Trans. Inf. Theory, 2018)

Signal Recovery From Unlabeled Samples. - Saeid Haghighatshoar; Giuseppe Caire (IEEE Trans. Signal Process., 2018)

Low-Complexity Massive MIMO Subspace Estimation and Tracking From Low-Dimensional Projections. - Saeid Haghighatshoar; Giuseppe Caire (IEEE Trans. Signal Process., 2018)

Low-Complexity Statistically Robust Precoder/Detector Computation for Massive MIMO Systems. - Mahdi Nouri Boroujerdi; Saeid Haghighatshoar; Giuseppe Caire (IEEE Trans. Wirel. Commun., 2018)

A Scalable and Statistically Robust Beam Alignment Technique for Millimeter-Wave Systems. - Xiaoshen Song; Saeid Haghighatshoar; Giuseppe Caire (IEEE Trans. Wirel. Commun., 2018)

Grant-Free Massive Random Access With a Massive MIMO Receiver. - Alexander Fengler; Saeid Haghighatshoar; Peter Jung 001; Giuseppe Caire (ACSSC, 2019)

Uplink-Downlink Channel Covariance Transformations and Precoding Design for FDD Massive MIMO. - Mahdi Barzegar Khalilsarai; Yi Song 011; Tianyu Yang 002; Saeid Haghighatshoar; Giuseppe Caire (ACSSC, 2019)

Massive MIMO Unsourced Random Access. - Alexander Fengler; Giuseppe Caire; Peter Jung 001; Saeid Haghighatshoar (CoRR, 2019)

Machine Learning for Geometrically-Consistent Angular Spread Function Estimation in Massive MIMO. - Yi Song 011; Mahdi Barzegar Khalilsarai; Saeid Haghighatshoar; Giuseppe Caire (CoRR, 2019)

FDD Massive MIMO via UL/DL Channel Covariance Extrapolation and Active Channel Sparsification. - Mahdi Barzegar Khalilsarai; Saeid Haghighatshoar; Xinping Yi; Giuseppe Caire (IEEE Trans. Wirel. Commun., 2019)

Efficient Beam Alignment for Millimeter Wave Single-Carrier Systems With Hybrid MIMO Transceivers. - Xiaoshen Song; Saeid Haghighatshoar; Giuseppe Caire (IEEE Trans. Wirel. Commun., 2019)

Joint Approximate Covariance Diagonalization with Applications in MIMO Virtual Beam Design. - Mahdi Barzegar Khalilsarai; Saeid Haghighatshoar; Giuseppe Caire (GLOBECOM, 2020)

Deep Learning for Geometrically-Consistent Angular Power Spread Function Estimation in Massive MIMO. - Yi Song 011; Mahdi Barzegar Khalilsarai; Saeid Haghighatshoar; Giuseppe Caire (GLOBECOM, 2020)

Structured Channel Covariance Estimation from Limited Samples in Massive MIMO. - Mahdi Barzegar Khalilsarai; Tianyu Yang 002; Saeid Haghighatshoar; Giuseppe Caire (ICC, 2020)

Structured Channel Covariance Estimation for Dual-Polarized Massive MIMO Arrays. - Mahdi Barzegar Khalilsarai; Tianyu Yang 002; Saeid Haghighatshoar; Giuseppe Caire (WSA, 2020)

Active Channel Sparsification and Precoding for Dual-Polarized FDD Massive MIMO. - Mahdi Barzegar Khalilsarai; Tianyu Yang 002; Saeid Haghighatshoar; Xinping Yi; Giuseppe Caire (WSA, 2020)

Non-Bayesian Activity Detection, Large-Scale Fading Coefficient Estimation, and Unsourced Random Access With a Massive MIMO Receiver. - Alexander Fengler; Saeid Haghighatshoar; Peter Jung 001; Giuseppe Caire (IEEE Trans. Inf. Theory, 2021)

EXODUS: Stable and Efficient Training of Spiking Neural Networks. - Felix Christian Bauer; Gregor Lenz; Saeid Haghighatshoar; Sadique Sheik (CoRR, 2022)

Exact Gradient Computation for Spiking Neural Networks Through Forward Propagation. - Jane H. Lee; Saeid Haghighatshoar; Amin Karbasi (CoRR, 2022)

Dual-Polarized FDD Massive MIMO: A Comprehensive Framework. - Mahdi Barzegar Khalilsarai; Tianyu Yang 002; Saeid Haghighatshoar; Xinping Yi; Giuseppe Caire (IEEE Trans. Wirel. Commun., 2022)

Exact Gradient Computation for Spiking Neural Networks via Forward Propagation. - Jane H. Lee; Saeid Haghighatshoar; Amin Karbasi (AISTATS, 2023)

Structured channel covariance estimation from limited samples for large antenna arrays. - Tianyu Yang 002; Mahdi Barzegar Khalilsarai; Saeid Haghighatshoar; Giuseppe Caire (EURASIP J. Wirel. Commun. Netw., 2023)

Low-power SNN-based audio source localisation using a Hilbert Transform spike encoding scheme. - Saeid Haghighatshoar; Dylan R. Muir (CoRR, 2024)