Experimental demonstration of a broadband mode converter and multiplexer based on subwavelength grating waveguides

2020 ◽  
Vol 129 ◽  
pp. 106297 ◽  
Author(s):  
David González-Andrade ◽  
Antonio Dias ◽  
J. Gonzalo Wangüemert-Pérez ◽  
Alejandro Ortega-Moñux ◽  
Íñigo Molina-Fernández ◽  
...  
Nanophotonics ◽  
2018 ◽  
Vol 7 (5) ◽  
pp. 865-871 ◽  
Author(s):  
Zhengsen Ruan ◽  
Li Shen ◽  
Shuang Zheng ◽  
Andong Wang ◽  
Yun Long ◽  
...  

AbstractWe propose, design, fabricate and characterize a subwavelength grating slot (SWGS) waveguide on silicon platform at short-wave infrared (SWIR) wavelength of 2 μm. The mode guiding mechanism, i.e. SWGS mode, is a combination of surface-enhanced supermode and Bloch mode. We also design and fabricate a low-loss strip-to-SWGS mode converter. We further demonstrate chip-scale direct modulation data transmission at 2 μm through the fabricated SWGS waveguides. Favorable operation performance is achieved in the experiment.


2020 ◽  
Vol 32 (18) ◽  
pp. 1143-1146
Author(s):  
Lijun Hao ◽  
Yong Zhao ◽  
Yitao Wu ◽  
Zhengqian He ◽  
Yuechun Shi ◽  
...  

2008 ◽  
Vol 128 (4) ◽  
pp. 677-682 ◽  
Author(s):  
Taku Takaku ◽  
Noriyuki Iwamuro ◽  
Yoshiyuki Uchida ◽  
Ryuichi Shimada

Author(s):  
Suresha .M ◽  
. Sandeep

Local features are of great importance in computer vision. It performs feature detection and feature matching are two important tasks. In this paper concentrates on the problem of recognition of birds using local features. Investigation summarizes the local features SURF, FAST and HARRIS against blurred and illumination images. FAST and Harris corner algorithm have given less accuracy for blurred images. The SURF algorithm gives best result for blurred image because its identify strongest local features and time complexity is less and experimental demonstration shows that SURF algorithm is robust for blurred images and the FAST algorithms is suitable for images with illumination.


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