"A Machine Learning Inspired Transceiver with ISI-Resilient Data Encoding: ..."

Zhiping Wang et al. (2021)

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DOI: 10.23919/VLSICIRCUITS52068.2021.9492510

access: closed

type: Conference or Workshop Paper

metadata version: 2021-08-02

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Zhiping Wang, Mohamed Megahed, Yusang Chun, Tejasvi Anand:
A Machine Learning Inspired Transceiver with ISI-Resilient Data Encoding: Hybrid-Ternary Coding + 2-Tap FFE + CTLE + Feature Extraction and Classification for 44.7dB Channel Loss in 7.3pJ/bit. VLSI Circuits 2021: 1-2

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