一维信号的小波去噪

Review of One-Dimensional Signal Wavelet De-Noising

去噪一直以来就是人们关注的话题,如何得到人们想要的较为纯净的信息是众多学者的追求目标。传统的去噪方法难以克服自身的局限性,而小波分析在时域和频域都具有良好的局部化的特性,迅速被应用到许多领域并成为一个研究热点。从小波变换原理、去噪原理和方法、阈值函数的选择、去噪指标等方面展开讨论,最后对小波去噪有关问题提出一些展望。

De-noising has always been the concerned topic. How to get relatively pure information people want is the goal of many scholars. The traditional method of de-noising is difficult to overcome its limitations. Wavelet analysis in the time domain and frequency domain have a good localization characteristics,and it was quickly applied to many areas and became a research hotspot. This paper describes the problems related to the principle of wavelet transform,the principle and method of denoising,the selection of the threshold function,the noise index and so on. Finally it puts forward some prospects on wavelet de-noising problems.