【摘要】 利用小波技术进行地震信号去噪处理的效果与最优小波基的选取有关。本文在剖析地震信号特点的基础上,首先从理论上讨论小波基选取准则,再从实验角度进行对比选择,提出在进行小波分解和重构时应分别选择不同的小波基函数,以保证重构信号的精确度,增强对地震信号的处理能力。此方法改变了以往分解与重构处理时均采用同一小波基函数的做法。文中最终选择适合于地震信号去噪处理的bior2.4小波基。对实际资料处理效果的对比分析表明,应用bior2.4小波基处理地震数据,不仅去噪效果好,而且在结果数据中能提取地震信号的有效低频和高频成分,拓宽了地震信号有效频带,并同时提高了地震信号的信噪比和分辨率。更多还原

【Abstract】 The effect of utilizing wavelet technology to conduct seismic signal noise elimination is related to selection of optimistic wavelet basis.The effect of using wavelet technology to eliminate the noise in seismic signal is related to the selection of optimal wavelet basis.Based on the analysis of characteristics of seismic signal,the paper discussed the selection criterion of wavelet basis theoretically,conducted the correlation and selection of wavelet basis from the test view and finally presented the suggestion that different wavelet basis function should be selected in decomposition and reconstruction of wavelet transform to assure the accuracy of the reconstructed signal and enhance the processing capability for seismic signal.The new approach changed the past routine way that the same wavelet basis function was used in decomposition and reconstruction of wavelet transform.The bior2.4 wavelet basis which is suitable for seismic signal noise elimination is finally selected in this paper.The correlation results of field seismic data processing show that applying the bior2.4 wavelet basis in seismic data processing not only achieves the better effect of noise elimination,but can extract the effective component of low and high frequency seismic signal from result data,broaden effective frequency and raise the resolution and S/N ratio of seismic signal.更多还原