Research

Signal Processing on Static and Dynamic 3D Meshes: Sparse Representations and Applications
Nowadays, real-time 3D scanning and reconstruction becomes a requirement for a variety of interactive applications in various fields, …
DOI
Wideband MIMO Channel Estimation for Hybrid Beamforming Millimeter Wave Systems via Random Spatial Sampling
Millimeter Wave (mmWave) massive Multiple In- put Multiple Output (MIMO) systems realizing directive com- munication over large …
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Adaptive Windowing for ICI Mitigation in Vehicular Communications
The performance of orthogonal frequency division multiplexing systems in vehicular environments suffers from intercarrier interference …
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Distributed consolidation of highly-incomplete dynamic point clouds based on rank minimization
Recently, there has been increasing interest for easy and reliable generation of 3-D animated models facilitating several real-time …
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Dithered Beamforming for Channel Estimation in Mmwave-Based Massive Mimo
In this work we consider the challenging problem of chan- nel estimation at the receiver of a massive multiple-input multiple-output …
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Efficient Channel Estimation in Millimeter Wave Hybrid MIMO Systems with Low Resolution ADCs
This paper proposes an efficient channel estima- tion algorithm for millimeter wave (mmWave) systems with a hybrid analog-digital …
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Energy Efficient Transmitter with Low Resolution DACs for Massive MIMO with Partially Connected Hybrid Architecture
Millimeter wave (mmWave) multiple-input multiple- output (MIMO) systems have recently been proposed to meet the needs of the future …
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Massive MIMO Channel Estimation for Millimeter Wave Systems via Matrix Completion
Millimeter wave (mmWave) massive multiple input multiple output (MIMO) systems realizing directive beamforming require reliable …
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Autonomous driving in 5G: Mitigating interference in OFDM-based vehicular communications
Automotive industry will be greatly benefited by the advent of 5G Networking and the huge boost in performance and coverage it will …
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Compressed Sensing for Efficient Encoding of Dense 3D Meshes Using Model-Based Bayesian Learning
With the growing demand for easy and reliable generation of 3D models representing real-world or synthetic objects, new schemes for …
DOI