基于小波分析的滤波方法及其硬件实现

传统的滤波方法是基于Ｆｏｕｒｉｅｒ分析理论，根据信号在Ｆｏｕｒｉｅｒ频域的特性设计滤波器，但这类滤波方法没有时间分辨率，有一定的局限性。近年来，一种称为小波分析的信号处理理论逐渐得到了人们的重视，因其具有时间—频率分辨率而倍受人们的青睐。本文结合小波分析理论，研究利用小波分析进行时—频域滤波的方法，并介绍其硬件实现方法。最后用数值模拟对这种方法进行了验证。

A Signal Filter Method Based on Wavelet Theory and its Hardware Design

According to the signal characteristics in Fourier domain, the design of the filter is based on Fourier transform theory. However, it has some limitation for its having no resolution in time domain. Recently, a new signal prcessing theory, which is called wavelet analysis theory, has resulted in greater value. Since it possesses time frequency resolution, it is getting more favourable. In accordance with the wavelet theory, a time frequency domain filter method is studied. A hardware design method is also given. Finally, this method is verified by using numerical simulation.