INSERTION LOSS METHOD AND PARTICLE SWARM OPTIMIZATION ALGORITHM IN FILTER DESIGN

被引：0
|
作者：
Kon, Ante [1 ]
Burum, Niksa [2 ]
Vilovic, Ivan [2 ]
机构：
[1] Maritime & Tech Sch, Dubrovnik, Croatia
[2] Univ Dubrovnik, Dept Elect Engn & Comp, Dubrovnik, Croatia
来源：
NASE MORE | 2010年 / 57卷 / 1-2期
关键词：
filters; insertion loss method; particle swarm optimization;
D O I：
暂无
中图分类号：
U6 [水路运输]; P75 [海洋工程];
学科分类号：
0814 ; 081505 ; 0824 ; 082401 ;
摘要：
A filter design using insertion loss method (ILM) and Particle Swarm Optimization algorithm (PSO) is presented in the paper. ILM is generally a preferred technique for the filter design with an arbitrary number of elements. This method can be used to create the filter which has different types of frequency responses. However, this procedure is not practical for a large number of elements. PSO algorithm can be a useful procedure for calculating values in filters with a large number of elements. This paper presents the procedure which takes an advantage of ILM for filter design and PSO for determination an unknown component values in filters with large number of elements. This is suitable approach for filter design with an arbitrary cutoff frequency and shape of pass band.
引用
收藏
页码：56 / 61
页数：6
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