64-GBd PDM-256QAM and 92-GBd PDM-64QAM Signal Generation using Precise-Digital-Calibration aided by Optical-Equalization

机译：利用光学均衡技术提供的精确数字校准来生成64 GB PDM-256QAM和92 GB PDM-64QAM信号

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We propose to precisely distribute equalization for transceiver imperfection between digital and optical domain. 1.7- and 4.6-dB OSNR tolerance improvements were confirmed for PDM-256QAM and PDM-64QAM signals with net-rates of 793 and 851 Gbps/carrier.

机译：我们建议为数字和光域之间的收发器缺陷精确地分配均衡。对于网络速率为793和851 Gbps /载波的PDM-256QAM和PDM-64QAM信号，确认了1.7和4.6 dB的OSNR容限提高。

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《Optical Fiber Communications Conference and Exhibition》|2019年|1-3|共3页
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Asuka Matsushita; Masanori Nakamura; Kengo Horikoshi; Seiji Okamoto; Fukutaro Hamaoka; Yoshiaki Kisaka;
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Optical transmitters; Optical filters; Optical distortion; Optical receivers; Nonlinear optics; Optical noise; Optical amplifiers;

机译：光学发射器;光学滤波器;光学失真;光学接收器;非线性光学;光学噪声;光学放大器;

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1. 6 144-Gb/s Nyquist-WDM PDM-64QAM Generation and Transmission on a 12-GHz WDM Grid Equipped With Nyquist-Band Pre-Equalization [J] . Dong Z., Li X., Yu J., Lightwave Technology, Journal of . 2012,第23期

机译：在配备奈奎斯特频带预均衡功能的12 GHz WDM网格上生成和传输6 144 Gb / s Nyquist-WDM PDM-64QAM
2. 7-Tb/s Signal Transmission Over 320 km Using PDM-64QAM Modulation [J] . Yu J., Dong Z., Chien H.-C., Photonics Technology Letters, IEEE . 2012,第4期

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4. 64-GBd PDM-256QAM and 92-GBd PDM-64QAM Signal Generation using Precise-Digital-Calibration aided by Optical-Equalization [C] . Asuka Matsushita, Masanori Nakamura, Kengo Horikoshi, Optical Fiber Communications Conference and Exhibition . 2019

机译：64-GBD PDM-256QAM和92-GBD PDM-64QAM信号通过光学均衡使用精确数字校准
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7. EEG Signal Discrimination using Non-linear Dynamics in the EMD Domain S. M. Shafiul Alam,S. M. Shafiul Alam,Aurangozeb, and Syed TarekShahriar Abstract—An EMD-chaos based approach is proposed todiscriminate EEG signals corresponding to healthy persons,and epileptic patients during seizure-free intervals and seizureattacks. An electroencephalogram (EEG) is first empiricallydecomposed to intrinsic mode functions (IMFs). The nonlineardynamics of these IMFs are quantified in terms of the largestLyapunov exponent (LLE) and correlation dimension (CD).This chaotic analysis in EMD domain is applied to a large groupof EEG signals corresponding to healthy persons as well asepileptic patients (both with and without seizure attacks). It isshown that the values of the obtained LLE and CD exhibitfeatures by which EEG for seizure attacks can be clearlydistinguished from other EEG signals in the EMD domain.Thus, the proposed approach may aid researchers in developingeffective techniques to predict seizure activities. Index Terms—Electroencephalogram (EEG), empiricalmode decomposition (EMD), largest Lyapunov exponent (LLE),correlation dimension (CD), epileptic seizures. The Authors are with the Electrical and Electronic EngineeringDepartment, Bangladesh University of Engineering and Technology,Dhaka-1000, Bangladesh (e-mail: imamul@eee.buet.ac.bd) PDF Cite: S. M. Shafiul Alam,S. M. Shafiul Alam,Aurangozeb, and Syed Tarek Shahriar, "EEG Signal Discrimination using Non-linear Dynamics in the EMD Domain," International Journal of Computer and Electrical Engineering vol. 4, no. 3, pp. 326-330, 2012. PREVIOUS PAPER Perception of Emotions Using Constructive Learningthrough Speech NEXT PAPER Physical Layer Impairments Aware OVPN Connection Selection Mechanisms Copyright © 2008-2013. International Association of Computer Science and Information Technology Press (IACSIT Press) [O] . S. M. Shafiul Alam, Syed TarekShahriar 2012

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64-GBd PDM-256QAM and 92-GBd PDM-64QAM Signal Generation using Precise-Digital-Calibration aided by Optical-Equalization

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