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)
RF power transmitters with high power efficiency and linearity: architectures and linearization by digital predistortion
A flexible receiver using delta-sigma modulation.
Estimation techniques for timing mismatch in time-interleaved analog-to-digital converters: Limitations and solutions.
A CMOS 65nm 120 dB Stacked A/D converters receiver for long wavelength radio astronomy observations.
A continuous-time direct RF-to-digital ΔΣ receiver.
Compressed sensing for astrophysical signals.
Energy Efficient Techniques using FFT for Deep Convolutional Neural Networks.
Behavioral Model for Power Amplifier Based on Physical Analysis of Memory Sources.
Surveillance strategy to mitigate secondary user attack in cognitive radio networks: A game-theoretic approach.