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Your search keyword '"Chun-Yen Chuang"' showing total 5 results
Start Over Author "Chun-Yen Chuang" Topic equalization (audio)
5 results on '"Chun-Yen Chuang"'

1. Structured Sparsity Learning-based pruned retraining Volterra Equalization for Data-Center Interconnects

Author

Chun-Yen Chuang, Young-Kai Chen, Kai-Ming Feng, Jyehong Chen, and Govind Sharan Yadav

Subjects
business.industry, Computer science, Speech recognition, Equalization (audio), Retraining, Bit error rate, Learning based, Augmented reality, Data center, business, Signal, Degradation (telecommunications)
Abstract

We propose a structured sparsity learning-based pruned retraining Volterra equalization for inter-dadta-center interconnects. Compared with conventional VE, we achieve 95% and 90.5% complexity reduction without signal degradation for B2B and 40-km at 80-Gb/s PAM4, respectively.

Published
2021
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2. Reducing computation complexity by using elastic net regularization based pruned Volterra equalization in a 80 Gbps PAM-4 signal for inter-data center interconnects

Author

Chun-Yen Chuang, Kai-Ming Feng, Jhih-Heng Yan, Young Kai Chen, Jyehong Chen, and Govind Sharan Yadav

Subjects
Elastic net regularization, Signal processing, business.industry, Computer science, Orthogonal frequency-division multiplexing, Image quality, Equalization (audio), Equalizer, Image processing, 02 engineering and technology, 021001 nanoscience & nanotechnology, 01 natural sciences, Signal, Atomic and Molecular Physics, and Optics, 010309 optics, Optics, Transmission (telecommunications), 0103 physical sciences, 0210 nano-technology, business, Algorithm, Phase modulation
Abstract

Volterra equalization (VE) presents substantial performance enhancement for high-speed optical signals but suffers from high computation complexity which limits its physical implementations. To address these limitations, we propose and experimentally demonstrate an elastic net regularization-based pruned Volterra equalization (ENPVE) to reduce the computation complexity while still maintain system performance. Our proposed scheme prunes redundant weight coefficients with a three-phase configuration. Firstly, we pre-train the VE with an adaptive EN-regularizer to identify significant weights. Next, we prune the insignificant weights away. Finally, we retrain the equalizer by fine-tuning the remaining weight coefficients. Our proposed ENPVE achieves superior performance with reduced computation complexity. Compared with conventional VE and L1 regularization-based Volterra equalizer (L1VE), our approach show a complexity reduction of 97.4% and 20.2%, respectively, for an O-band 80-Gbps PAM4 signal at a received optical power of −4 dBm after 40 km SMF transmission.

Published
2020

3. Equalization of PAM-4 Signal Generated by Silicon Microring Modulator for 64-Gbit/s Transmission

Author

Chi-Wai Chow, J. Chen, Hon Ki Tsang, Xinru Wu, Chien-Hung Yeh, Ta-Ching Tzu, Yung Hsu, and Chun-Yen Chuang

Subjects
Physics, Optical fiber, Silicon, Equalization (audio), chemistry.chemical_element, 02 engineering and technology, Signal, Atomic and Molecular Physics, and Optics, law.invention, Intersymbol interference, 020210 optoelectronics & photonics, Transmission (telecommunications), chemistry, law, Gigabit, Modulation, 0202 electrical engineering, electronic engineering, information engineering, Electronic engineering
Abstract

We propose and demonstrate a 64-Gbit/s four-level pulse-amplitude-modulation transmission by using a limited modulation bandwidth silicon microring modulator (SiMRM) and the Volterra equalization scheme. Severe intersymbol interference caused by both the chromatic dispersion of the optical fiber and the bandwidth limitation of components can be compensated. Besides, several equalization schemes are compared and analyzed in terms of performance and complexity. In addition, the design and characteristics of the SiMRM used in the experiment are also discussed.

Published
2017
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4. 512-Gbit/s PAM-4 Signals Direct-Detection using Silicon Photonics Receiver with Volterra Equalization

Author

Chi-Wai Chow, Hon Ki Tsang, Chien-Hung Yeh, Liang-Yu Wei, Yung Hsu, Jyehong Chen, Chun-Yen Chuang, and Xinru Wu

Subjects
Ethernet, Signal processing, Silicon photonics, Optical fiber, Computer science, Equalization (audio), 02 engineering and technology, 01 natural sciences, law.invention, 010309 optics, 020210 optoelectronics & photonics, Signal-to-noise ratio, Transmission (telecommunications), law, Gigabit, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, Electronic engineering
Abstract

A 400-Gbit/s Ethernet (GbE) pulse-amplitude-modulation-4 (PAM-4) over 10-km single-mode-fiber (SMF) transmission direct-detected by an integrated silicon-photonics-receiver satisfying the IEEE P802.3bs requirement; and its feasibility to support 512-Gbit/s were illustrated.

Published
2018
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5. Transmission Performance Improvement of PAM-4 Signal Direct-Detected by Ge-Si Photodiode using Volterra Equalization

Author

Liang-Yu Wei, Hon Ki Tsang, Yuan-Chia Chang, Yung Hsu, Chi-Wai Chow, J. Chen, Chien-Hung Yeh, Guan Hong Chen, Xinru Wu, and Chun-Yen Chuang

Subjects
Optical fiber, Materials science, business.industry, Equalization (audio), 02 engineering and technology, Transmission system, 021001 nanoscience & nanotechnology, 01 natural sciences, Signal, law.invention, Photodiode, 010309 optics, law, Attenuation coefficient, Distortion, 0103 physical sciences, Optoelectronics, Photonics, 0210 nano-technology, business
Abstract

We demonstrate a 4-level pulse-amplitude-modulation (PAM-4) transmission system direct-detected by germanium-silicon (Ge-Si) photodiode (PD). Volterra-equalization is used to compensate signal distortion and 40-Gibt/s and 50-Gbit/s PAM-4 signals after 20-km and 10-km fiber transmissions are achieved.

Published
2017
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