231 citations
- Centre National de la Recherche ScientifiqueFR10 papers
- ESPCI ParisFR10 papers
- Institut LangevinFR10 papers
- Université Paris Sciences et LettresFR10 papers
- University of BolognaIT4 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR3 papers
- ETH ZurichCH3 papers
- Kelenn Technology (France)FR3 papers
- CEA Paris-SaclayFR2 papers
- Institut Rayonnement-Matière de SaclayFR2 papers
- University of NottinghamGB2 papers
- BT Group (United Kingdom)GB1 paper
19 papers
Self-Learning for Personalized Keyword Spotting on Ultra-Low-Power Audio Sensors
Manuele Rusci, Francesco Paci, Marco Fariselli +2
This paper proposes a self-learning method to incrementally train (fine-tune) a personalized Keyword Spotting (KWS) model after the deployment on ultra-low power smart audio sensor…
Integrating SystemC-AMS Power Modeling with a RISC-V ISS for Virtual Prototyping of Battery-operated Embedded Devices
Mohamed Amine Hamdi, Giovanni Pollo, Matteo Risso +6
RISC-V cores have gained a lot of popularity over the last few years. However, being quite a recent and novel technology, there is still a gap in the availability of comprehensive…
Scalable Hierarchical Instruction Cache for Ultra-Low-Power Processors Clusters
Jie Chen, Igor Loi, Eric Flamand +3
High Performance and Energy Efficiency are critical requirements for Internet of Things (IoT) end-nodes. Exploiting tightly-coupled clusters of programmable processors (CMPs) has r…
Golden Modulation: a New and Effective Waveform for Massive IoT
Lorenzo Vangelista, Bruno Jechoux, Jean-Xavier Canonici +1
This paper considers massive Internet of Things systems, especially for LoW Power Wide Area Networks, that aim at connecting billions of low-cost devices with multi-year battery li…
Model-free Optimization and Experimental Validation of RIS-assisted Wireless Communications under Rich Multipath Fading
Tianrui Chen, Minglei You, Yangyishi Zhang +6
Reconfigurable intelligent surface (RIS) devices have emerged as an effective way to control the propagation channels for enhancing the end-users' performance. However, RIS optimiz…
Reconfigurable Intelligent Surface-assisted Classification of Modulations using Deep Learning
Mir Lodro, Hamidreza Taghvaee, Jean Baptiste Gros +3
The fifth generating (5G) of wireless networks will be more adaptive and heterogeneous. Reconfigurable intelligent surface technology enables the 5G to work on multistrand waveform…