Implementation of a Robust and Power-Efficient Nonlinear 64-QAM Demapper using In-Memory Computing-Reference-Cited by-同舟云学术

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Implementation of a Robust and Power-Efficient Nonlinear 64-QAM Demapper using In-Memory Computing

Published:2023-03 Issue: Volume: Page:
ISSN:
Container-title:2023 Optical Fiber Communications Conference and Exhibition (OFC)
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Author:

Eldebiky Amro¹,Böcherer Georg²,Schädler Maximilian²,Calabrò Stefano²,Li Bing¹,Schlichtmann Ulf¹

Affiliation:

1. Technical University of Munich,Electronic Design Automation Chair,Munich,Germany,80333

2. Huawei Munich Research Center,Munich,Germany,80992

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10115459/10115461/10116625.pdf?arnumber=10116625

Reference14 articles.

1. Soft-Demapping for Short Reach Optical Communication: A Comparison of Deep Neural Networks and Volterra Series

2. Impact of process variations on emerging memristor

3. ISAAC

4. 33.2 A Fully Integrated Analog ReRAM Based 78.4TOPS/W Compute-In-Memory Chip with Fully Parallel MAC Computing

5. Analogue signal and image processing with large memristor crossbars;li;Nature Electronics,2018

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