output
20062026
most citedDemodulation of spatial carrier images : performance analysis of several algorithms using a single image

23 citations

Showing 2022Show all

7 papers · 1 filter

physics.optics2022★ 7 cited

SOA-MZI photonic sampler with post-distortion linearization technique

Dimitrios Kastritsis, Thierry Rampone, Maeva Franco +2

We present a post-distortion linearization technique for a Semiconductor Optical Amplifier Mach-Zehnder Interferometer (SOA-MZI) photonic sampler. The sampling source is an active…

physics.optics2022★ 1 cited

SOA-MZI All-Optical RoF Signal Mixing

Dimitrios Kastritsis, Kyriakos E. Zoiros, Thierry Rampone +1

Fiber-optic transmission of high radiofrequency (RF) signals is being established as a key means for efficiently dealing with the ever-demanding bandwidth, services and cost requir…

cs.LG2022

Deep learning for Lagrangian drift simulation at the sea surface

Daria Botvynko, Carlos Granero-Belinchon, Simon Van Gennip +2

We address Lagrangian drift simulation in geophysical dynamics and explore deep learning approaches to overcome known limitations of state-of-the-art model-based and Markovian appr…

eess.SY2022★ 3 cited

Active queue management: First steps toward a new control-theoretic viewpoint

Céfric Join, Hugues Mounier, Emmanuel Delaleau +1

Active Queue Management (AQM) for mitigating Internet congestion has been addressed via various feedback control syntheses, among which P, PI, and PID regulators are quite popular…

cs.AI2022

Commonsense Reasoning for Identifying and Understanding the Implicit Need of Help and Synthesizing Assistive Actions

Maëlic Neau, Paulo Santos, Anne-Gwenn Bosser +2

Human-Robot Interaction (HRI) is an emerging subfield of service robotics. While most existing approaches rely on explicit signals (i.e. voice, gesture) to engage, current literatu…

cs.RO2022★ 9 cited

Robots Learn Increasingly Complex Tasks with Intrinsic Motivation and Automatic Curriculum Learning

Sao Mai Nguyen, Nicolas Duminy, Alexandre Manoury +2

Multi-task learning by robots poses the challenge of the domain knowledge: complexity of tasks, complexity of the actions required, relationship between tasks for transfer learning…