摘要
本文比较了四种去噪声的效果,利用提升格式设计的灵活性,通过预算子或更新算子的设计最优匹配特定的信号,比较了软阈值函数、硬阈值函数、比例萎缩LAWML法和小波域中值滤波四种去噪方法.
This paper compares four denoising methods, namely soft-thresholding function, hardthresholding function, LAWML and wavelet domain median filter under linear lifting wavelet transforms.The predictor and updater are designed for matching given signal optimally due to the design flexible of lifting scheme.
出处
《数学杂志》
CSCD
北大核心
2006年第6期701-705,共5页
Journal of Mathematics
关键词
提升格式
小波变换
中值滤波
小波萎缩
lifting scheme
wavelet transform
median filters
wavelet shrinkage