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,

Areas of Advance

Information and Communication Technology

Subject Categories

Communication Systems

Embedded Systems

Control Engineering

Signal Processing

More information

Latest update

9/23/2024