scholarly journals First Experimental Demonstration of Super-Symbol Transmission for Improved Fiber Nonlinearity Tolerance

2021 ◽  
Author(s):  
qing guo ◽  
wei-ren peng ◽  
An Li ◽  
Yan Cui ◽  
Yusheng Bai
Keyword(s):  
Experimental Demonstration ◽  
Fiber Nonlinearity

scholarly journals Experimental demonstration of improved fiber nonlinearity tolerance for unique-word DFT-spread OFDM systems

2011 ◽  
Vol 19 (27) ◽  
pp. 26198 ◽  
Author(s):  
Xi Chen ◽  
An Li ◽  
Guanjun Gao ◽  
William Shieh
Keyword(s):  
Ofdm Systems ◽  
Experimental Demonstration ◽  
Fiber Nonlinearity ◽  
Unique Word

Experimental Demonstration of 1200V IGBT Module for a Magnetic Energy Recovery Switch Application

2008 ◽  
Vol 128 (4) ◽  
pp. 677-682 ◽  
Author(s):  
Taku Takaku ◽  
Noriyuki Iwamuro ◽  
Yoshiyuki Uchida ◽  
Ryuichi Shimada
Keyword(s):  
Energy Recovery ◽  
Magnetic Energy ◽  
Experimental Demonstration ◽  
Igbt Module

Recognition of Birds in Blurred and Illumination Images by Local Features

2017 ◽  
Vol 7 (7) ◽  
pp. 243
Author(s):  
Suresha .M ◽  
. Sandeep
Keyword(s):  
Computer Vision ◽  
Time Complexity ◽  
Feature Detection ◽  
Feature Matching ◽  
Fast Algorithms ◽  
Local Features ◽  
Experimental Demonstration ◽  
Harris Corner ◽  
Blurred Image ◽  
Blurred Images

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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