Dr. Evangelos Vlachos
Tenure-track Researcher · ATHENA RC
Dr. Evangelos Vlachos
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6G
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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DOI
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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DOI
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 …
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DOI
Efficient graph-based matrix completion on incomplete animated models
Recently, there has been increasing interest for easy and reliable generation of 3D animated models facilitating several real-time …
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Adaptive completion of the correlation matrix in wireless sensor networks
The correlation structure among the sensor observa- tions is a significant characteristic of the wireless sensor network (WSN) which can …
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DOI
Blind distributed beamforming via matrix completion
In this paper, we consider the problem of distributed beamforming for maximization of the receiver signal-to-noise ratio (SNR) subject …
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Low-complexity OSIC equalization for OFDM-based Vehicular Communications
Vehicular communication systems are usually equipped with orthogonal frequency division multiplexing (OFDM) transceivers that operate …
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DOI
Supervised energy disaggregation using dictionary-based modelling of appliance states
In this paper , a supervised energy disaggregation method is proposed. The appliances that are monitored, are modelled by multi-state …
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A decentralized approach to generalized power system state estimation
Distributed generation and the urge for a more effi- cient grid operation will increase the frequency of network topol- ogy …
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A scheme for X-ray medical image denoising using sparse representations
This paper addresses the problem of noise removal in X-ray medical images. A novel scheme for image denoising is proposed, by …
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