【摘要】 小波分析在时域和频域具有很好的局部化特性,是分析和处理数字信号强有力的工具。文章将基于小波变换的模极大值去噪算法应用到地震信号的去噪研究中。首先依据相关理论验证算法的有效性,并对红山基准台的地震数据进行去噪分析处理。结果表明,去噪后的信号有效去除了大部分毛刺,去噪效果良好,噪声得到很好的抑制。为实现数据处理的界面化及易操作,在基于小波变换模极大值去噪算法比较分析的基础上,设计一个地震信号去噪系统分析界面,从而实现数据去噪的可视化应用。更多还原

【Abstract】 Wavelet transform analysis is of good localization properties both in time and frequency domain and is a powerful tool to analyze and process digital signal.Denoising algorithm based on wavelet transform modulus maximum is applied to denoising of seismic signals in the paper.The effectiveness of the algorithm is verified and then denoising is carried on seismic data of Hongshan Reference Station.The results show that the most of the burrs in signals are removed after denoising and noise is suppressed effectively.In order to make the data processing more easily,an analysis interface for seismic signals denoising system is designed to implement visualization of data denoising based on comparison of denoising algorithm of wavelet transform modulus maximum.更多还原