scholarly journals Gum-Net: Unsupervised Geometric Matching for Fast and Accurate 3D Subtomogram Image Alignment and Averaging

Author(s):  
Xiangrui Zeng ◽  
Min Xu
2021 ◽  
Vol 87 (1) ◽  
Author(s):  
Duo Qiu ◽  
Minru Bai ◽  
Michael K. Ng ◽  
Xiongjun Zhang

Noise Mapping ◽  
2020 ◽  
Vol 7 (1) ◽  
pp. 146-153
Author(s):  
Olivier Schwab

AbstractFor aircraft noise calculations, lateral flight dispersion is commonly represented by means of subtracks – a backbone track and side-tracks to each side of the backbone track – where each subtrack is assigned a movement percentage. Aircraft noise calculations impose quality demands on these subtracks, while the latter are often created based on limited information.This paper presents a method to increase flexibility when designing subtracks. The method allows to redistribute subtracks geometrically, allowing for the design of simplified track representations, for instance through a lower number of subtracks and very basic indications of movement allocations. The method is based on the geometric matching of the initial subtracks and on the estimation of the lateral movement distributions for both input and final output subtracks. No restrictions on the number of sub-tracks or on the shape of the distributions are needed, neither for the input nor for the output. A number of examples of the redistribution and its effect on aircraft noise calculations are discussed.


1995 ◽  
Vol 1 (1) ◽  
pp. 77-104 ◽  
Author(s):  
D. Whitley ◽  
R. Beveridge ◽  
C. Graves ◽  
K. Mathias

2017 ◽  
Vol 96 (8) ◽  
Author(s):  
Line Jelver ◽  
Peter Mahler Larsen ◽  
Daniele Stradi ◽  
Kurt Stokbro ◽  
Karsten Wedel Jacobsen
Keyword(s):  

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