小波分析的应用是与小波分析的理论研究紧密地结合在一起地。它已经在科技信息产业领域取得了令人瞩目的成就。 电子信息技术是六大高新技术中重要的一个领域，它的重要方面是图像和信号处理。现今，信号处理已经成为当代科学技术工作的重要部分，信号处理的目的就是：准确的分析、诊断、编码压缩和量化、快速传递或存储、精确地重构（或恢复）。从数学地角度来看，信号与图像处理可以统一看作是信号处理（图像可以看作是二维信号），在小波分析地许多分析的许多应用中，都可以归结为信号处理问题。对于其性质随时间是稳定不变的信号，处理的理想工具仍然是傅立叶分析。但是在实际应用中的绝大多数信号是非稳定的，而特别适用于非稳定信号的工具就是小波分析。-Application of wavelet analysis theory of wavelet analysis and closely together to. It has made remarkable achievements in the field of information science and technology. Six high-tech electronic and information technology is important in an area, it is an important aspect of the image and signal processing. Today, signal processing has become an important part of contemporary scientific and technological work, the purpose of signal processing is: accurate analysis, diagnosis, compression coding and quantization, rapid transmission or storage, accurately reconstruct (or restore). From a mathematical point of view ground, signal and image processing can be seen as a unified signal processing (two-dimensional image can be seen as a signal), the wavelet analysis to many, many applications analysis, signal processing can be attributed to the problem. For its nature is stable and unchanging over time signal processing is still the ideal tool for Fourier analysis. However, in practice the v