摘要
根据curvelet变换的性质和阈值去噪原理,提出一种地震信号自适应阈值去噪方法。首先对地震信号进行cur-velet变换,利用地震信号的curvelet变换系数在不同分解层的特点,通过计算curvelet系数统计量的方法来确定自适应阈值,然后采用软阈值折衷方法对curvelet系数进行处理,最后通过curvelet逆变换得到去噪的地震信号。试验结果表明,该方法在去除噪声的同时能更好地保留信号的细节,其去噪效果要优于传统的小波去噪方法。
According to the properties of curvelet transform and the principle of threshold denoising,a new adaptive threshold denoising method was proposed.First,seismic signal was decomposed by curvelet transform.Making use of the characteristics of curvelet coefficients of seismic signal in difference decomposition level,adaptive threshold value can be computed by statistical method.Then curvelet coefficients were processed by using the soft threshold value compromised method.Finally,denoised seismic signal was obtained by inverse curvelet transform.Experimental results show that the proposed method can effectively eliminate noise and preserve the signal details at the same time.And the denoising effect is superior to that of the traditional wavelet denoising method.
出处
《中国石油大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2010年第3期30-33,共4页
Journal of China University of Petroleum(Edition of Natural Science)
基金
天津市自然科学基金项目(08JCYBJC12100)
