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基于小波变换的多尺度分解去噪技术是近年来发展起来的一种新技术,其在地震勘探领域中具有广泛的应用。在小波变换的基础上发展起来的小波包变换,可以更好地像小波变换分解低频一样分解高频信息,在信号的去噪方面也有着重要的用途。将小波包变换应用于噪音含量较多的浅水域单道地震数据处理中,获得的有效地震信号突出,噪音被明显压制,处理效果良好。
The multi-scale decomposition de-noising technique based on wavelet transform is a new technique developed in recent years and has a wide range of applications in the field of seismic exploration. The wavelet packet transform developed on the basis of wavelet transform can decompose high-frequency information better like wavelet transform and decompose low frequency, and it also has an important use in signal denoising. The wavelet packet transform is applied to single channel seismic data processing of shallow waters with more noise content. The effective seismic signals obtained are outstanding, the noise is obviously suppressed and the processing effect is good.