摘要
在小波的去噪应用中 ,门限值往往归结为一个复杂函数的最小值问题 ,我们提出使用演化算法选择小波门限值 ,使用基于子空间搜索的群体随机搜索算法来求最优门限值 ,实验结果显示 ,新算法为一个有效、稳健的算法 。
A denoising method to select wavelet thresholding via evolutionary algorithm was presented.Using stochastic population searching which is based on subspace searching, the best wavelet thresholding was determined. The experimental results show that the new method is an effective and robust algorithm, and it has advantage over traditional method.
出处
《武汉化工学院学报》
2002年第4期92-94,共3页
Journal of Wuhan Institute of Chemical Technology
关键词
演化算法
离散小波变换
遗传算法
去噪
门限值
discrete wavelet transform
evolutionary algorithm
denoising
thresholding
