Modeling and Simulation on Securing of Software Defined Network Overlays
Issue:
Volume 8, Issue 4, August 2019
Pages:
65-76
Received:
15 July 2019
Accepted:
17 September 2019
Published:
30 October 2019
Abstract: Security is one of the key technologies with which DX (Digital Transformation) supported. A sent data was sometimes noise for this nonlinear programming technique to have the restrictions which won't be more than 1 for the value of the amplified bit, without the most suitable functions can be found. It wasn't possible to build the large-scale network of which high security including authentication is requested. The same problem generated the algorithm which does a weighting of each antenna it became stable, and to secure high-speed transmission of a time zone cord at a multiple-input multiple-out (MIMO) channel by the Wireless environment equally. The purpose of this system is here to achieve to develop the technology for which security is secured by also utilizing the algorithm which will improve the algorithm which selects the filtering technique and the filtering which are the multiplex technology when a network transmits at high speed, and select the filtering later for a weighting of each antenna by time zone coding at the MIMO channel which is high-speed transmission technology by the wireless society and build the large-scale network environment that advantage convenience guaranteed high security highly freely and easily.
Abstract: Security is one of the key technologies with which DX (Digital Transformation) supported. A sent data was sometimes noise for this nonlinear programming technique to have the restrictions which won't be more than 1 for the value of the amplified bit, without the most suitable functions can be found. It wasn't possible to build the large-scale netwo...
Show More
Constrained Blind Separation Algorithm Using Variable Step Size and Variable Momentum Factor
Liu Lu,
Ou Shifeng,
Gao Ying
Issue:
Volume 8, Issue 4, August 2019
Pages:
77-84
Received:
15 October 2019
Accepted:
Published:
18 November 2019
Abstract: The traditional blind separation algorithm is mainly for the instantaneous mixing problem in the stable environment. In the practical applications, blind separation often takes into account the interference of the external environment, which requires that the algorithm has strong tracking performance, but the traditional algorithm can’t meet the needs. Aiming at the problem of instantaneous blind separation in non-stationary environment, constrained blind separation algorithm using variable step size and variable momentum factor is proposed in this paper. Based on the nonholonomic natural gradient algorithm, the cost function is constrained by the disturbance of the hybrid system and the constraint factors take the form of self-adaptive adjustment. According to the separation situation, the constraint factors are adjusted adaptively to accelerate the convergence speed. The variable step size based on the cost function gradient is introduced to improve the tracking performance. By incorporating momentum term, the momentum factor is adaptively adjusted to make it have better separation performance. The simulation results show that compared with the traditional algorithm, the proposed algorithm can better balance the contradiction between convergence speed and steady-state error in non-stationary environment, and has better separation performance. In the case of obvious disturbance in the mixed system, the algorithm can effectively improve the shortcomings of the traditional algorithm. In summary, constrained blind separation algorithm using variable step size and variable momentum factor proposed in this paper is effective.
Abstract: The traditional blind separation algorithm is mainly for the instantaneous mixing problem in the stable environment. In the practical applications, blind separation often takes into account the interference of the external environment, which requires that the algorithm has strong tracking performance, but the traditional algorithm can’t meet the ne...
Show More
