Joint Adaptive Compensation for Amplifier Nonlinearity and Quadrature Modulation Errors

Author(s):  
Young-Doo Kim ◽  
Eui-Rim Jeong ◽  
Taegyun Noh ◽  
Y.H. Lee
2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Muhammad Nabeel Anwar ◽  
Salman Hameed Khan

Human nervous system tries to minimize the effect of any external perturbing force by bringing modifications in the internal model. These modifications affect the subsequent motor commands generated by the nervous system. Adaptive compensation along with the appropriate modifications of internal model helps in reducing human movement errors. In the current study, we studied how motor imagery influences trial-to-trial learning in a robot-based adaptation task. Two groups of subjects performed reaching movements with or without motor imagery in a velocity-dependent force field. The results show that reaching movements performed with motor imagery have relatively a more focused generalization pattern and a higher learning rate in training direction.


2012 ◽  
Vol 2012 ◽  
pp. 1-7 ◽  
Author(s):  
Piero Angeletti ◽  
Marco Lisi

Rain attenuation at Ka-band is a severe phenomenon that drastically impairs satellite communications at these frequencies. Several adaptive compensation techniques have been elaborated to counteract its effects and most often applied one at a time. The present paper proposes the contemporary exploitation of different techniques in a combined approach. Such an integrated approach is thoroughly analyzed in a simplified scenario and will be shown to achieve a very effective solution, making the Ka-band spectrum fully available for broadband satellite applications and network-centric systems.


SPE Journal ◽  
1999 ◽  
Vol 4 (02) ◽  
pp. 128-133 ◽  
Author(s):  
T.L. Brandon ◽  
M.P. Mintchev ◽  
Herb Tabler

2018 ◽  
Vol 34 (1) ◽  
pp. 248-255 ◽  
Author(s):  
Yajie Ma ◽  
Vincent Cocquempot ◽  
Maan El Badaoui El Najjar ◽  
Bin Jiang

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