Minimum distance based precoding for closed-loop QO-STBC systems with single-symbol decodable ML receiver

2013 ◽  
Author(s):  
Jaesin Kim ◽  
Junghun Ryu ◽  
Suil Kim ◽  
Ui-Young Pak
Keyword(s):  
Minimum Distance ◽  
Closed Loop

scholarly journals Two-Player Location Game in a Closed-Loop Market with Quantity Competition

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Xiaofeng Chen ◽  
Qiankun Song ◽  
Zhenjiang Zhao
Keyword(s):  
Minimum Distance ◽  
Nash Equilibria ◽  
Closed Loop ◽  
Transportation Cost ◽  
Competitive Dynamics ◽  
Backward Induction ◽  
Local Market ◽  
Induction Method ◽  
Quantity Competition ◽  
Circle Model

This paper considers the two-player location game in a closed-loop market with quantity competition. Based on the Cournot and Hotelling models, a circle model is established for a closed-loop market in which two players (firms) play a location game under quantity competition. Using a two-stage (location-then-quantity) pattern and backward induction method, the existence of subgame-perfect Nash equilibria is proved for the location game in the circle model with a minimum distance transportation cost function. In addition, sales strategies are proposed for the two players for every local market on the circle when the players are in the equilibrium positions. Finally, an algorithm for simulating the competitive dynamics of the closed-loop market is designed, and two numerical simulations are provided to substantiate the effectiveness of the obtained results.

Performance Analysis of Closed-Loop MIMO Precoder Based on the Probability of Minimum Distance

2015 ◽  
Vol 14 (4) ◽  
pp. 1849-1857 ◽  
Author(s):  
Olufemi James Oyedapo ◽  
Baptiste Vrigneau ◽  
Rodolphe Vauzelle ◽  
Herve Boeglen
Keyword(s):  
Performance Analysis ◽  
Minimum Distance ◽  
Closed Loop

Intestinal Bacteriology of Closed Loop, Strangulated Obstruction in Dogs.

1961 ◽  
Vol 41 (3) ◽  
pp. 245-250 ◽  
Author(s):  
George H. Bornside ◽  
Isidore Cohn
Keyword(s):  
Closed Loop

The Impact of Visual Feedback Type on the Mastery of Visuo-Motor Transformations

2012 ◽  
Vol 220 (1) ◽  
pp. 3-9 ◽  
Author(s):  
Sandra Sülzenbrück
Keyword(s):  
Empirical Research ◽  
Visual Feedback ◽  
Closed Loop ◽  
Motor Planning ◽  
Visual Input ◽  
Closed Loop Control ◽  
Loop Control ◽  
Feedback Type ◽  
Effective Use ◽  
The Impact

For the effective use of modern tools, the inherent visuo-motor transformation needs to be mastered. The successful adjustment to and learning of these transformations crucially depends on practice conditions, particularly on the type of visual feedback during practice. Here, a review about empirical research exploring the influence of continuous and terminal visual feedback during practice on the mastery of visuo-motor transformations is provided. Two studies investigating the impact of the type of visual feedback on either direction-dependent visuo-motor gains or the complex visuo-motor transformation of a virtual two-sided lever are presented in more detail. The findings of these studies indicate that the continuous availability of visual feedback supports performance when closed-loop control is possible, but impairs performance when visual input is no longer available. Different approaches to explain these performance differences due to the type of visual feedback during practice are considered. For example, these differences could reflect a process of re-optimization of motor planning in a novel environment or represent effects of the specificity of practice. Furthermore, differences in the allocation of attention during movements with terminal and continuous visual feedback could account for the observed differences.

Generalized full/partial closed loop transmit diversity algorithm for WCDMA

2003 ◽  
Vol 14 (5) ◽  
pp. 471-477
Author(s):  
Dejan M. Novakovic ◽  
Markku J. Juntti ◽  
Miroslav L. Dukic
Keyword(s):  
Closed Loop ◽  
Transmit Diversity

A closed-loop, ACT-R approach to modeling approach and landing with and without synthetic vision system (SVS) technology

2004 ◽  
Author(s):  
Michael D. Byrne ◽  
Alex Kirlik ◽  
Michael D. Fleetwood ◽  
David G. Huss ◽  
Alex Kosorukoff ◽  
...  
Keyword(s):  
Closed Loop ◽  
Vision System ◽  
Modeling Approach ◽  
Synthetic Vision
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