自适应提升小波变换与信号去噪  

Adaptive Lifting Wavelet Transform and Signal Denoise

作　　者：王志武[1] 丁国清[1] 颜国正[1] 林良明[1] 

机构地区：[1]上海交通大学精密仪器及微智能研究所,上海200030

出　　处：《计算机工程与应用》2002年第2期28-29,162,共3页Computer Engineering and Applications

基　　金：国家863高技术研究发展计划资助项目(编号:9921-01)

摘　　要：文章引入了基于提升法的自适应离散小波变换,根据LMS自适应法使伯恩斯坦预测算子自适应匹配特定的数据序列,而且应用该方法于信号的软域值去噪,数值仿真实验表明自适应提升小波变换同经典的小波变换相比,去噪后信号的信噪比效率相近,提升方法的优点在于其设计上的灵活性和计算简单。This paper develops adaptive wavelet transform based on the lifting scheme.Bernstein filter predictor adaptively match a desired signal by LMS adaptive criteria.The the method is applied on the signal denoise by the soft thresholding of wavelet.The numercial experimental shows that the SNR denoising efficiency of the method is very similar to the classica wavelet transform.The advantages of lifting scheme lie on its design flexibale,compute in-place.

关 键 词：小波变换 提升法 自适应 信号去噪 信号处理 

分 类 号：TN911.7[电子电信—通信与信息系统]