Real-Time Implementation of Machine-Learning DSP
Paper in proceeding, 2024
While ML algorithms can learn and adapt to channel characteristics, implementation of ML-based DSP hardware is challenging. We demonstrate a real-time implementation of a model-based ML equalizer that compensates a non-linear and time-varying channel.
Author
Erik Börjeson
VLSI Systems
Keren Liu
Student at Chalmers
Christian Häger
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Per Larsson-Edefors
VLSI Systems
2024 Optical Fiber Communications Conference and Exhibition, OFC 2024 - Proceedings
2024 Optical Fiber Communications Conference and Exhibition
San Diego, USA,
San Diego, USA,
Areas of Advance
Information and Communication Technology
Subject Categories
Communication Systems
Embedded Systems
Control Engineering
Signal Processing