小波变换与傅立叶变换在信号消噪中的对比研究

Comparative Study on Decreasing Noise Between Wavelet Transform and Fourier Transform

由于小波变换具有良好的时-频特性,从而为其在信号降噪中的应用提供了广阔的前景.通过傅立叶变换和小波变换在信号消噪中的对比研究可以看出,小波变换对奇异信号极其敏感,使得其在非平稳信号的消噪中显出了得天独厚的优越性.

Because of its better time - frequency characteristic, wavelet transform can be used to decrease the noise in the signal effectively. Compared to the Fourier Transform, wavelet transform is superior and it is sensitive to the singularity signal, which enables it to reveal its great advantages in denosing unsteady signals.