PN-TDNN-DPD is a Phase-Normalized Time-Delay Neural Network for real-time Digital Predistortion (DPD) achieving 250 MSps on FPGA using systolic array architecture with II=1 throughput.
MicroPython is a well-known and easy-to-use way to program microcontrollers in Python. If you’re using an Arduino Uno Q, ...
Abstract: Aim: This research aims to develop a hardware accelerator to inference AI models for low-end embedded platforms using FPGAs as they are reconfigurable, have parallel and real-time processing ...
Abstract: In this study, we introduce a new approach to secure computing by implementing a platform that utilizes a non-volatile memory express (NVMe)-based system with an FPGA-based Torus fully ...