Roxana Alexandru

Orcid: 0000-0003-0527-5508

Affiliations:
  • Imperial College London, UK


According to our database1, Roxana Alexandru authored at least 13 papers between 2018 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2022
Perfect Reconstruction of Classes of Non-Bandlimited Signals from Projections with Unknown Angles.
Proceedings of the IEEE International Conference on Acoustics, 2022

Convolutional ISTA Network with Temporal Consistency Constraints for Video Reconstruction from Event Cameras.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Diffusion SLAM: Localizing Diffusion Sources From Samples Taken by Location-Unaware Mobile Sensors.
IEEE Trans. Signal Process., 2021

Guaranteed Reconstruction from Integrate-and-Fire Neurons with Alpha Synaptic Activation.
Proceedings of the IEEE International Conference on Acoustics, 2021

Localising Diffusion Sources from Samples Taken Along Unknown Parametric Trajectories.
Proceedings of the 29th European Signal Processing Conference, 2021

Time encoding and decoding of multidimensional signals with finite rate of innovation.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020
Reconstructing Classes of Non-Bandlimited Signals From Time Encoded Information.
IEEE Trans. Signal Process., 2020

Sampling Classes of Non-Bandlimited Signals Using Integrate-and-Fire Devices: Average Case Analysis.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

D-SLAM: Diffusion Source Localization and Trajectory Mapping.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Time Encoding Using the Hyperbolic Secant Kernel.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
Time-based Sampling and Reconstruction of Non-bandlimited Signals.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Rumour Source Detection in Social Networks using Partial Observations.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Estimating the Topology of Neural Networks from Distributed Observations.
Proceedings of the 26th European Signal Processing Conference, 2018


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