首页 | 本学科首页   官方微博 | 高级检索  
     

基于QPSO的两通道正交镜像滤波器组的优化设计*
引用本文:谭方青,张天骐,黄烈超,高春霞.基于QPSO的两通道正交镜像滤波器组的优化设计*[J].计算机应用研究,2011,28(9):3432-3435.
作者姓名:谭方青  张天骐  黄烈超  高春霞
作者单位:重庆邮电大学信号与信息处理重庆市重点实验室,重庆,400065
基金项目:国家自然科学基金资助项目(61071196);国家教育部新世纪优秀人才支持计划资助项目(NCET-10-0927);信号与信息处理重庆市市级重点实验室建设项目(CSTC,2009CA2003);重庆市自然科学基金资助项目(CSTC,2009BB2287,2010BB2398,2010BB2411)
摘    要:通过分析两通道正交镜像滤波器组的重构条件,提出了一种新的两通道正交镜像滤波器(QMF)组的设计方法,将完全重构的两通道QMF组的设计问题转换为由原型低通滤波器在通带、阻带和过渡带幅频响应的均方误差加权和组成的一种无约束的非线性优化问题,用量子粒子群优化算法(QPSO)来有效求解该类优化问题,获得该问题的全局最优解.最后...

关 键 词:两通道正交镜像滤波器组  完全重构  原型低通滤波器  量子粒子群优化算法

Two-channel QMF bank optimization design based on quantum-behaved particle swarm optimization algorithm
TAN Fang-qing,ZHANG Tian-qi,HUANG Lie-chao,GAO Chun-xia.Two-channel QMF bank optimization design based on quantum-behaved particle swarm optimization algorithm[J].Application Research of Computers,2011,28(9):3432-3435.
Authors:TAN Fang-qing  ZHANG Tian-qi  HUANG Lie-chao  GAO Chun-xia
Affiliation:(Chongqing Key Laboratory of Signal & Information Processing, Chongqing University of Posts & Telecommunications, Chongqing 400065, China)
Abstract:This paper analyzed the reconstruction condition of two-channel QMF bank, proposed an new method to design two-channel QMF bank. At first, the design problem of perfect reconstruction two-channel QMF had been recasted into a unconstrained nonlinear optimization problem, which was made up of the weighted sum of the mean square error of amplitude response of prototype low-pass filter in passband, stopband and transition. Secondly, proposed QPSO to efficiently tackle the kind of optimization problem, then got the global optimal solution. Finally, designed a two-channel QMF bank by the obtained optimal coefficients. Educed the conclusion through experiments and comparisions, that the new method is simpler and more effective than conventional method under satisfying performance, the reconstruction error of QMF banks is lower .
Keywords:two-channel quadrature mirror filter(QMF) bank  perfect reconstruction  prototype low-pass filter  quantum-behaved particle swarm optimization(QPSO) algorithm
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《计算机应用研究》浏览原始摘要信息
点击此处可从《计算机应用研究》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号