Intelligent Encoding Method and Implementation for FPGA-based PDAC

The distortion of high-speed signals from FPGA deteriorates the output waveform quality of the FPGA-based PDAC, such as vertical resolution. We propose a machine learning-assisted encoding method to mitigate the negative effects of such distortion.

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Bibliographic Details
Main Authors: Zhu, Kangqi, Hua, Nan, Yu, Jinghan, Zheng, Xiaoping, Zhou, Bingkun
Format: Conference Proceeding
Language:English
Subjects:
Data preprocessing
Distortion
Encoding
FPGA
machine learning
Neural networks
Optical distortion
Optical fiber communication
Photonic digital-to-analog converter
Predictive models
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Description
Summary:The distortion of high-speed signals from FPGA deteriorates the output waveform quality of the FPGA-based PDAC, such as vertical resolution. We propose a machine learning-assisted encoding method to mitigate the negative effects of such distortion.
ISSN:2771-3059
DOI:10.1109/ICOCN55511.2022.9901125