Nonlinear Photonic Signal Processing Using Third-Order Nonlinearity

2012 ◽  
pp. 324-383
2016 ◽  
Vol 6 (8) ◽  
pp. 2600 ◽  
Author(s):  
Yiran Wang ◽  
Zhitai Jia ◽  
Xiancui Su ◽  
Baitao Zhang ◽  
Ruwei Zhao ◽  
...  

2017 ◽  
Vol 122 (22) ◽  
pp. 223110 ◽  
Author(s):  
Ravi Kiran Saripalli ◽  
Naga Krishnakanth Katturi ◽  
Venugopal Rao Soma ◽  
H. L. Bhat ◽  
Suja Elizabeth

2008 ◽  
Vol 485 (1) ◽  
pp. 894-902 ◽  
Author(s):  
Marek Samoc ◽  
Anna Samoc ◽  
Mark G. Humphrey ◽  
Marie P. Cifuentes ◽  
Barry Luther-Davies ◽  
...  

2011 ◽  
Vol 13 (9) ◽  
pp. 3693-3697 ◽  
Author(s):  
Qiming Liu ◽  
Xuan He ◽  
Xiujian Zhao ◽  
Feng Ren ◽  
Xiangheng Xiao ◽  
...  

2021 ◽  
pp. 2150234
Author(s):  
Shenwei Yin ◽  
Haichen Rong ◽  
Jiayuan Dong ◽  
Xin Li ◽  
Yichen Yan ◽  
...  

In recent years, integrated signal processing system has been attracting increasing attention for its significant potential in future data transmission and information interaction. There is a key technical requirement for multi-pulse signal propagation that keeps the waveform shape, which contributes to the practical value of the system. Here, we investigate the effects of third-order dispersion on pulses in mid-infrared multi-pulse signal propagation via numerical simulation based on Runge–Kutta algorithm. The phenomenon of waveform distortion and reduction of conversion efficiency induced by third-order dispersion is explored and discussed in detail. To reduce the impact of nonlinear factors, we propose an on-chip signal processing system based on a lithium niobate waveguide, which achieves high-efficiency signal transmission. It opens a new way to establish a novel transmission system to process multi-pulse signal.


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