On fast algorithms for TDM switching assignments in terrestrial and satellite networks

1995 ◽  
Vol 43 (8) ◽  
pp. 2399-2404 ◽  
Author(s):  
Yiu Kwok Tham
Keyword(s):  
Fast Algorithms ◽  
Satellite Networks ◽  
Tdm Switching

Architecture for large dilated optical TDM switching networks

1993 ◽  
Vol 140 (5) ◽  
pp. 337 ◽  
Author(s):  
D.K. Hunter ◽  
P.J. Legg ◽  
I. Andonovic
Keyword(s):  
Switching Networks ◽  
Tdm Switching

Rollback Links Characterization for the Snapshot Routing Algorithm in Polar-Orbit Satellite Networks

2015 ◽  
Vol E98.B (8) ◽  
pp. 1715-1724 ◽  
Author(s):  
Zhu TANG ◽  
Chunqing WU ◽  
Zhenqian FENG ◽  
Wanrong YU ◽  
Baokang ZHAO ◽  
...  
Keyword(s):  
Routing Algorithm ◽  
Satellite Networks ◽  
Polar Orbit ◽  
Orbit Satellite

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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