Digital Predistortion
Energy conservation has become a major social issue. New intelligent solutions are required to reduce energy consumption of communication systems.
Energy conservation has become a major social issue. New intelligent solutions are required to reduce energy consumption of communication systems.
Exploiting sparcity characteristics of signals in specific applications can lead to reduce power consumption and limit the amount of data acquired and stored ; this is the paradigm of compressed sampling for data acquisition systems.
A very good candidate for implementing flexible receivers is direct RF-to-Digital Delta Sigma receiver (DDSR)
Design of a flexible analog-to-feature converter for intelligent acquisition of biological signals
Multi-port mm-Wave Transceivers and Antenna Interfaces: Towards Programmable mm-Wave Front-ends
Digital predistortion for wideband 5G transmitters
The performance evaluation of the uplink transmission in NB-IoT networks
Energy efficient channel sensing for wake-up receivers.
Energy Efficient System Architecture for Devices in Artificial Intelligence-of-Things
Human Body Communication Channel Characterization for Leadless Cardiac Pacemakers.
Automotive Digital Twin: ADAS System verification
A Wideband Mixed-Signal Predistorter for Small-Cell Base Station Power Amplifiers.
Human Body Communication for leadless pacemaker applications.