Research And Application Of Based On Wavelet Packet Analysis KL And FX Joint Denoising

With the useful signal in noise is an important factor in seismic signal processing, without lowering the resolution on the basis of the signal and reduce signal noise and noise from the strong to extract useful signals, it becomes a subject of further study. Does not affect the resolution in order to improve the SNR under the premise, people under a variety of signal and noise characteristics of different designs of many suppress noise, enhance signal to noise ratio method.This thesis Denoising of seismic data as the research object, research mainly focus on how to remove the random noise. Systematically analyzed and explained the noise for seismic data denoising faced by the noise of their characteristics, causes, impact, and methods of repression. The current actual production of some commonly used denoising principle, characteristics and adaptability of the system.For which the FX domain noise suppression, KL transform and wavelet packet denoising for specific analysis and research, outlined their principles of noise reduction, and the method of the seismic signal simulation and real data. FX forecast domain denoising technique is a fundamental technology that aims to suppress the two-dimensional random noise in seismic records, it's close to theoretical and practical significance of results on widely used. KL transform as a special kind of orthogonal linear transformation, through the coherent seismic energy concentrated in a limited number of principal components, the correlation between a good signal to survive, thus filtered random signal. The results show that the actual processing, KL transform can effectively remove the linear interference, which retain more of the shallow effective information. Wavelet analysis is the current seismic signal denoising in a rapidly developing new areas of development of the wavelet packet frequency domain wavelet refinement and is based on Daubechies (split method); because the wavelet packet analysis of the upper part of the low frequency part and high frequency At the same time to break it down, with more accurate local analysis.According to FX denoisization, KL denoising, and wavelet packet analysis Denoising of their own characteristics to make a joint denoising methods. First, the wavelet packet analysis of the seismic profiles frequency processing, then the wavelet coefficients of profile in the space domain, can predict the row FX domain noise suppression, choose the appropriate threshold on the coefficient of threshold de-noising, the wavelet packet coefficients then reconstructed, and finally use the KL transform to extract the relevant signal in the seismic signals. The method makes use of signal and noise in wavelet packet analysis under different performance characteristics of Singularity to remove noise, also using seismic signals in space predictability and correlation between seismic signals Road denoising. By wavelet packet analysis, FX and the KL transform domain denoising using the combination, give full play to their strengths, achieve better denoising effect. Tong Guo theoretical models of synthetic and real seismic data processing to achieve the repeated experiments showed that the method and the conventional denoising methods, better denoising effect, not only can effectively remove strong random noise, improve the seismic record signal to noise ratio and resolution, and fidelity of the signal is good, basic does not make an effective signal distortion..