Adaptive moment estimation for polynomial nonlinear equalizer in PAM8-based optical interconnects Article Swipe
Ji Zhou
,
Haide Wang
,
Jinlong Wei
,
Long Liu
,
Xincheng Huang
,
Shecheng Gao
,
Weiping Liu
,
Jianping Li
,
Changyuan Yu
,
Zhaohui Li
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1364/oe.27.032210
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1364/oe.27.032210
Adaptive moment estimation (Adam) is a popular optimization method to estimate large-scale parameters in neural networks. This paper proposes the first use of Adam algorithm to fast and stably converge large-scale tap coefficients of polynomial nonlinear equalizer (PNLE) for 129-Gbit/s PAM8-based optical interconnects. PNLE is one of simplified Volterra nonlinear equalizer for making a trade-off between complexity and performance. Different from serial least-mean square (LMS) adaptive algorithm, Adam algorithm is a parallel processing algorithm, which can obtain globally optimal tap coefficients without being trapped in locally optimal tap coefficients. Timing error is one of the main obstacles to the PAM systems with high baud rate and high modulation order. Owing to parallel processing and global optimization, Adam algorithm has much better performance on resisting the timing error, which can achieve faster, more-stable and lower-MSE convergence compared to LMS adaptive algorithm. In conclusion, Adam algorithm shows great potential for converging the tap coefficients of PNLE in PAM8-based optical interconnects.
Related Topics
Concepts
Baud
Computer science
Nonlinear system
Adaptive equalizer
Moment (physics)
Convergence (economics)
Bit error rate
Algorithm
Modulation (music)
Polynomial
Adaptive algorithm
Least mean squares filter
Transmission (telecommunications)
Control theory (sociology)
Adaptive filter
Equalization (audio)
Mathematics
Telecommunications
Decoding methods
Artificial intelligence
Aesthetics
Physics
Economic growth
Mathematical analysis
Philosophy
Economics
Quantum mechanics
Control (management)
Classical mechanics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1364/oe.27.032210
- OA Status
- gold
- Cited By
- 46
- References
- 11
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2980371846
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2980371846Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1364/oe.27.032210Digital Object Identifier
- Title
-
Adaptive moment estimation for polynomial nonlinear equalizer in PAM8-based optical interconnectsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2019Year of publication
- Publication date
-
2019-10-21Full publication date if available
- Authors
-
Ji Zhou, Haide Wang, Jinlong Wei, Long Liu, Xincheng Huang, Shecheng Gao, Weiping Liu, Jianping Li, Changyuan Yu, Zhaohui LiList of authors in order
- Landing page
-
https://doi.org/10.1364/oe.27.032210Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1364/oe.27.032210Direct OA link when available
- Concepts
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Baud, Computer science, Nonlinear system, Adaptive equalizer, Moment (physics), Convergence (economics), Bit error rate, Algorithm, Modulation (music), Polynomial, Adaptive algorithm, Least mean squares filter, Transmission (telecommunications), Control theory (sociology), Adaptive filter, Equalization (audio), Mathematics, Telecommunications, Decoding methods, Artificial intelligence, Aesthetics, Physics, Economic growth, Mathematical analysis, Philosophy, Economics, Quantum mechanics, Control (management), Classical mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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46Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2, 2024: 11, 2023: 8, 2022: 11, 2021: 7Per-year citation counts (last 5 years)
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11Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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