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General Information
Editor-in-chief

Prof. Pascal Lorenz
University of Haute Alsace, France
 
It is my honor to be the editor-in-chief of IJFCC. The journal publishes good papers in the field of future computer and communication. Hopefully, IJFCC will become a recognized journal among the readers in the filed of future computer and communication.

IJFCC 2017 Vol.6(3): 115-118 ISSN: 2010-3751
doi: 10.18178/ijfcc.2017.6.3.501

Parameter Estimation Algorithms for Volterra Digital Systems

Wei-Der Chang, Ching-Lung Chi, Shun-Peng Shih, and Bo-Hong Ye
Abstract—In this paper, we will propose a novel parameter estimation algorithm which is based on the modified particle swarm optimization (PSO) algorithm for the Volterra digital system. In the modified PSO algorithm, another adjusting factor is added into the velocity updating formula to enhance the algorithm’s search capacity. On the basis of a series of input-output data pairs, we wish that the modified PSO approach can successfully solve for the unknown parameters of the Volterra digital system. The whole design steps based on the modified PSO is presented for parameter estimations. Besides, different sets of algorithm initial conditions are examined to confirm the feasibility and robustness. Finally, simulation results sufficiently reveal that the proposed method can correctly solve for the parameters of the Volterra digital system.

Index Terms—Parameter estimation, Volterra digital system, Particle swarm optimization (PSO).

The authors are with the Department of Computer and Communication, Shu-Te University, Kaohsiung, Taiwan (e-mail: wdchang@stu.edu.tw, pipn@stu.edu.tw, spshih@stu.edu.tw, s12115260@stu.edu.tw).

[PDF]

Cite: Wei-Der Chang, Ching-Lung Chi, Shun-Peng Shih, and Bo-Hong Ye, "Parameter Estimation Algorithms for Volterra Digital Systems," International Journal of Future Computer and Communication vol. 6, no. 3, pp. 115-118, 2017.

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