Coset Space Dimension Reduction of Gauge Theories

Author(s):  
K. Farakos ◽  
D. Kapetanakis ◽  
G. Koutsoumbas ◽  
G. Zoupanos
Author(s):  
A I Maksimov ◽  
M V Gashnikov

We propose a new adaptive multidimensional signal interpolator for differential compression tasks. To increase the efficiency of interpolation, we optimize its parameters space by the minimum absolute interpolation error criterion. To reduce the complexity of interpolation optimization, we reduce the dimension of its parameter range. The correspondence between signal samples in a local neighbourhood is parameterized. Besides, we compare several methods for such parameterization. The developed adaptive interpolator is embedded in the differential compression method. Computational experiments on real multidimensional signals confirm that the use of the proposed interpolator can increase the compression ratio.


1992 ◽  
Vol 219 (1-2) ◽  
pp. 4-76 ◽  
Author(s):  
D Kapetanakis

2018 ◽  
Vol 782 ◽  
pp. 503-509
Author(s):  
Kohta Hatakeyama ◽  
Asato Tsuchiya

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