【摘要】 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。小波变换通过伸缩和平移等运算功能对函数或信号进行多尺度细化分析,解决了傅立叶变化不能解决的许多困难问题。本文通过傅立叶变换和小波变换在地震资料去噪中的对比可以看出,小波变换对奇异信号极其敏感,使得其在非平稳信号的去噪中显出了较大的优越性。更多还原

【Abstract】 Because of its better time-frequency characteristic,wavelet transform can be used to decrease the noise in the signal effectively.Wavelet transform processes excessive scale thinning analysis to function or signal through calculation function such as stretching and translation and so on.Many difficult problems can be figured out by this.Compared to the fourier transform,wavelet transform is superior and it is sensitive to the singularity singal,which enables it to reveal its great advantages in denoising unsteady signals.更多还原