# ASIC Implementation of Time-Domain Digital Backpropagation with Deep-Learned Chromatic Dispersion Filters

arXiv: https://arxiv.org/abs/1806.07223 · HTML: https://mlsanity.com/paper/1806.07223/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 19 Jun 2018.

## Built on by (most cited first, 2 of 2)

- [FPGA Implementation of Multi-Layer Machine Learning Equalizer with On-Chip Training](https://mlsanity.com/paper/2212.03515/) (2022)
- [Quantization of Neural Network Equalizers in Optical Fiber Transmission Experiments](https://mlsanity.com/paper/2310.05950/) (2023)

## Abstract (arXiv)

We consider time-domain digital backpropagation with chromatic dispersion filters jointly optimized and quantized using machine-learning techniques. Compared to the baseline implementations, we show improved BER performance and >40% power dissipation reductions in 28-nm CMOS.