Real-Time Implementation of Machine-Learning DSP
Other conference contribution, 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
Christian Häger
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Keren Liu
Per Larsson-Edefors
VLSI Systems
Optical Fiber Communication Conference, OFC 2024
Optical Fiber Communication Conference
San Diego, USA,
San Diego, USA,
Areas of Advance
Information and Communication Technology
Subject Categories
Communication Systems
Embedded Systems
Control Engineering
Signal Processing