The surge in interest regarding the next generation of optical fiber transmission has stimulated the development of digital signal processing(DSP)schemes that are highly cost-effective with both high performance and l...
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The surge in interest regarding the next generation of optical fiber transmission has stimulated the development of digital signal processing(DSP)schemes that are highly cost-effective with both high performance and low *** benchmarks for nonlinear compensation methods,however,traditional DSP designed with block-by-block modules for linear compensations,could exhibit residual linear effects after compensation,limiting the nonlinear compensation *** we propose a high-efficient design thought for DSP based on the learnable perspectivity,called learnable DSP(LDSP).LDSP reuses the traditional DSP modules,regarding the whole DSP as a deep learning framework and optimizing the DSP parameters adaptively based on backpropagation algorithm from a global *** method not only establishes new standards in linear DSP performance but also serves as a critical benchmark for nonlinear DSP *** comparison to traditional DSP with hyperparameter optimization,a notable enhancement of approximately 1.21 dB in the Q factor for 400 Gb/s signal after 1600 km fiber transmission is experimentally demonstrated by combining LDSP and perturbation-based nonlinear compensation *** from the learnable model,LDSP can learn the best configuration adaptively with low complexity,reducing dependence on initial *** proposed approach implements a symbol-rate DSP with a small bit error rate(BER)cost in exchange for a 48%complexity reduction compared to the conventional 2 samples/symbol *** believe that LDSP represents a new and highly efficient paradigm for DSP design,which is poised to attract considerable attention across various domains of opticalcommunications.
We experimentally demonstrate single-wavelength 1.6-Tb/s(=8×200Gb/s) data-center interconnects over a 1-km 8-core MCF link. We compare the performance of MLSD and M-BCJR algorithms for FTN transmission under bric...
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Dear editor, Video inpainting is a new technology of recovering the lost motion vectors or image blocks during the video sequence transmission. It aims to speculate the correct value of missing voxels from a given vid...
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Dear editor, Video inpainting is a new technology of recovering the lost motion vectors or image blocks during the video sequence transmission. It aims to speculate the correct value of missing voxels from a given video to achieve the automatic inpainting and make the inpainted video frames present a natural visual effect. However, video inpainting remains challenging owing to the difficulties coming from computational complexity, complex scenarios and the high requirement on spatial and temporal consistency.
Seismology, as a crucial field of Earth science, is dedicated to understanding the internal structure of the Earth and crustal movements. In recent decades, rotational seismometers become increasingly mature, and rota...
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We propose multi-task learning based NN equalization for nonlinearity compensation in coherent optical system. Compared with conventional NN equalization, 30% complexity reduction is achieved in an 800-Gb/s PDM-16QAM ...
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The reliable operation of the distribution network is intricately linked to the overall stability of the power system. However, existing methodologies often fall short in precisely identifying the fault location withi...
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We propose a fast and accurate estimation method of MDL-induced SNR penalty with non-uniform noise loading in SDM *** proposed approach substantially saves the time cost while maintaining an estimation error within 0....
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In free space channel,continuous-variable quantum key distribution(CV-QKD)using polarized coherent-states can not only make the signal state more stable and less susceptible to interference based on the polarization n...
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In free space channel,continuous-variable quantum key distribution(CV-QKD)using polarized coherent-states can not only make the signal state more stable and less susceptible to interference based on the polarization non-sensitive of the free-space channel,but also reduce the noise introduced by phase ***,arbitrary continuous modulation can not be carried out in the past polarization coding,resulting in that the signal state can not obtain arbitrary continuous value in Poincare space,and the security analysis of CV-QKD using polarized coherent-states in free space is not *** we propose a new modulation method to extend the modulation range of signal states with an optical-fiber-based polarization *** particular,in terms of the main influence factors in the free-space channel,we utilize the beam extinction and elliptical model when considering the transmittance and adopt the formulation of secret key *** addition,the performance of the proposed scheme under foggy weather is also taken into consideration to reveal the influence of severe *** simulation shows that the proposed scheme is seriously affected by attenuation under foggy *** protocol fails when visibility is less than 1 *** the same time,the wavelength can affect the performance of the proposed ***,under foggy weather,the longer the wavelength,the smaller the attenuation coefficient,and the better the transmission *** proposed scheme can expand the modulation range of signal state,and supplement the security research of the scheme in the free-space channel,thus can provide theoretical support for subsequent experiments.
The phase-generated carrier (PGC) algorithm is one of the most commonly employed demodulation schemes in optical fiber sensors. It exhibits high sensitivity in detecting weak signal and is less susceptible to fluctuat...
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Theoretical analysis of the scale factor nonlinearity (SFN) in open-loop fiber optic gyroscopes is conducted. A k-factor compensation method is introduced, effectively reducing SFN to 2.5 ppm over the range of -300 to...
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