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基于改进遗传量子算法的FIR数字滤波器设计
引用本文:袁书卿,张葛祥.基于改进遗传量子算法的FIR数字滤波器设计[J].国际商务研究,2003,43(5):41-46.
作者姓名:袁书卿  张葛祥
作者单位:复旦大学
基金项目:国家自然科学基金资助项目(69574026),教育部骨干教师资助计划项目
摘    要:网上证券交易在各国已经得到广泛应用。由网上证券交易引起的变革对传统的交易方式、交易制度产生不可估量的影响力,直接冲击着证券市场、投资者和券商。本文试图从证券市场和券商的角度来分析网上证券交易给它们带来的影响,从而从更深层次上理解网上证券交易的意义,更好地使用它。

关 键 词:网上证券交易  证券经纪  证券市场
文章编号:1006-1894(2003)05-0041-05
修稿时间:2003/3/4 0:00:00

Design of FIR Digital Filter Based on Improved Genetic Quantum Algorithm
YUAN Shu-qing,ZHANG Ge-xiang.Design of FIR Digital Filter Based on Improved Genetic Quantum Algorithm[J].International Business Research,2003,43(5):41-46.
Authors:YUAN Shu-qing  ZHANG Ge-xiang
Institution:YUAN Shu-qing~,ZHANG Ge-xiang~
Abstract:Improved genetic quantum algorithm (IGQA) is used to design FIR digital filters. Samples in transitions of filters are optimized, which solves the problem that values obtained by look-up table method (LTUM) are not optimums. Aiming at prematureness appearing easily when GQA is used to optimize continuous functions with many peaks, IGQA is proposed.The results of testing typical function and designing FIR digital filters demonstrate that IGQA is better than GQA and other GAs because IGQA has faster convergent speed and better global search capability, and IGQA can overcome premature phenomenon effectively. The performances of filters designed by IGQA are better than that of LTUM.
Keywords:FIR filter  Design  Genetic algorithm  Genetic quantum algorithm
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