人们一直在利用有效信号和噪声的某种特性差异,进行着对污染信号恢复,这一过程几乎完全依赖于对信号和噪声特性的精确描述,子波分析理论为这种描述提供了新的工具.本文对子波域阈值滤波的核心问题———滤波阈值的意义及取值规则进行了探讨,给出了滤波阈值更加简洁的数学表述,明确了阈值随尺度递减的数学关系,使基于子波分解的信号滤波算法,在理论上更加完善 People have been making use of the difference between the effective signal and the noise to carry out the recovery of the pollution signal. The process is almost totally dependent on the accurate description of the signal and noise characteristics. The wavelet analysis theory provides a new tool for this description In this paper, the core problem of wavelet threshold filtering - the meaning of filter threshold and the rules of value are discussed, and the mathematical expression of filter threshold is given more concisely, the mathematical relation of threshold decreasing with scale is clarified, Wave decomposition signal filtering algorithm, in theory, more perfect