基于小波变换的阈值去噪技术研究

小波变换是一种新的时频联合分析方法,它在时域和频域都具有良好的局部化特性和多分辨率分析特性,能满足各种去噪要求,如低通、高通、随机噪声的去除,在信号去噪中小波变换得到了广泛的应用。本文阐述了小波变换及小波阈值去噪的基本原理,对阈值函数的选取以及阈值的确定等关键问题进行讨论。仿真实验结果表明,文章所采用的方法既能有效地去除信号噪声,又能较好地保留原信号中的突变信息。

Study on Threshold Denoising Technology Based on the Wavelet Transformation

The wavelet transformation was a new approach for developing unite time domain with frequency region, which had good localizing quality at time domain and frequency domain simultaneously and the characteristic of muhi-resolution ratio analysis. So it could fulf＇dl all kinds of wave Filtering needs such as low - pass, high - pass and random noise remove. This article elaborated the prin-ciple of wavelet transform and wavelet threshold denoising. The selection of threshold function and threshold vale were crucial to wavelet shrinkage denoising. The simulation results showed that the wavelet denoising method could effectively restrain the noise and reserve the fault character information in the original signals.