摘要
提出一种利用改进遗传算法选择最优正交小波基的方法。此法将信号用小波级数展开后得到其在某个期望尺度上的近似表示 ,由此建立一个表达信号与其近似之间误差的代价函数 ,然后利用改进遗传算法优化此代价函数以获得全局最优的正交小波基。数值实验结果表明本文的方法能够快速准确地得到全局最优的正交小波基 。
An optimal choice method for orthogonal wavelet basis through genetic algorithms is presented in paper. By expanding the signal in wavelet series, we get its approximation up to a desired scale, and a cost function for representing the error between the signal and its approximation is established. We then optimize the cost function by Improved Genetic Algorithms in order to obtain the global optimal orthogonal wavelet basis.
出处
《太原理工大学学报》
CAS
2003年第2期133-136,共4页
Journal of Taiyuan University of Technology
基金
教育部留学回国人员科研启动基金资助项目 ([2 0 0 2 ] 2 47)
