Optimization of High Pass Filter Approximation with Evolutionary Algorithms

被引：0
|
作者：
Ayten, Umut Engin [1 ]
Vural, Revna Acar [1 ]
机构：
[1] Yildiz Tekn Univ, Elekt & Haberlesme Muhendisligi Bolumu, Istanbul, Turkey
来源：
2013 21ST SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) | 2013年
关键词：
Evolutionary Algorithms; High Pass Filter Approximation; 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：
In this work, coefficients of a high-pass analog filter transfer function are optimized with evolutionary algorithms. The aim is to approximate transfer characteristic obtained with coefficients optimized with Particle Swarm Optimization (PSO) and Artificial Bee Colony (ABC) algorithms to ideal high-pass fitler characteristic. Simulation results show that approximation errors obtained with evolutionary methods in short computation time is less than traditional methods.
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页数：4
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