HYPERBOLIC PARTICLE SWARM OPTIMIZATION WITH APPLICATION IN RATIONAL IDENTIFICATION

被引：0
|
作者：
Kovacs, Peter [1 ]
Kiranyaz, Serkan [2 ]
Gabbouj, Moncef [2 ]
机构：
[1] Eotvos Lorand Univ, H-1117 Budapest, Hungary
[2] Tampere Univ Technol, FIN-33101 Tampere, Finland
来源：
2013 PROCEEDINGS OF THE 21ST EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO) | 2013年
关键词：
Rational functions; Malmquist-Takenaka system; Hyperbolic geometry; Particle swarm optimization;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The rational function systems proved to be useful in several areas including system and control theories and signal processing. In this paper, we present an extension of the well-known particle swarm optimization (PSO) method based on the hyperbolic geometry. We applied this method on digital signals to determine the optimal parameters of the rational function systems. Our goal is to minimize the error between the approximation and the original signal while the poles of the system remain stable. Namely, we show that the presented algorithm is suitable to localize the same poles by using different initial conditions.
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页数：5
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