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temporal-filtering dissipative soliton in an optical parametric oscillator

High Power Laser Science and Engineering 2022年第2期10卷 80-86页

作者： Hui Tong Fuyong Wang Zhipeng Qin Guoqiang Xie Liejia Qian School of Physics and Astronomy Key Laboratory for Laser Plasmas(Ministry of Education)Collaborative Innovation Center of IFSA(CICIFSA)Shanghai Jiao Tong UniversityShanghai 200240China School of Information and Electrical Engineering Hebei University of EngineeringHandan 056038China

Dissipative solitons have been realized in mode-locked fiber lasers in the theoretical framework of the Ginzburg±Landau equation and have significantly improved the pulse energy and peak power levels of such lasers.It is interesting to explore whether dissipative solitons exist in optical parametric oscillators in the framework of three-wave coupling equations in order to substantially increase the performance of optical parametric oscillators.Here,we demonstrate a temporalfiltering dissipative soliton in a synchronously pumped optical parametric oscillator.The temporal-gain filtering of the pump pulse combined with strong cascading nonlinearity and dispersion in the optical parametric oscillator enables the generation of a broad spectrum with a nearly linear chirp;consequently,a significantly compressed pulse and high peak power can be realized after dechirping outside the cavity.Furthermore,we realized,for the first time,dissipative solitons in an optical system with a negative nonlinear phase shift and anomalous dispersion,extending the parameter region of dissipative solitons.The findings may open a new research block for dissipative solitons and provide new opportunities for mid-infrared ultrafast science.

关键词： cascading nonlinearity dissipative solitons optical parametric oscillators temporal filtering

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Classifying Single-Trial Event-Related Potentials using xDAWN and Denoising Auto-Encoder

Classifying Single-Trial Event-Related Potentials using xDAW...

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第36届中国控制会议

作者： Shuai Cao Wei Wu FeiFei Qi School of Automation Science and Engineering South China University of Technology

ISBN: (纸本)9781538629185

Event-Related Potentials（ERPs） is a regular electrophysiological response which is evoked by outer world events or stimuli from brain,and an important approach to explore the human cognitive function.A variety of methods have been proposed for an attempt to analyze it,with varying degrees of success.In this paper,we have proposed a novel method for learning the ERPs,which bases on the effective spatial filtering implementation-xDAWN for maximizing the signal-noise ratio and initializes the parameters by capturing the temporal filters using Denoising Auto-Encoder（DAE）.DAE is a three layers neural network which compels the hidden layer to learn the intrinsic features by corrupting the clean input.Finally,our result have manifested that a superiority comparing to some advanced method listed.

关键词： Brain-Computer Interfaces ERPs Spatial filtering temporal filtering

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