基于离散Gabor变换迭代时变滤波实现地震信号去噪

A DENOISING METHOD OF SEISMIC DATA BASED ON ITERATIVE TIME-VARIANT FILTER OF DISCRETE GABOR TRANSFORM

  • 摘要: 基于离散Gabor变换时变滤波对宽带和非平稳信号估计具有强大的能力,迭代时变滤波不仅计算上有效,而且能得到较好的信噪比。鉴于迭代时变滤波方法的特点和地震信号的非平稳性,我们提出了基于离散Gabor变换迭代时变滤波方法实现地震信号的去噪,并根据实际地震信号的带限性及其频带分布规律,提出了简单的掩模函数求取方法。经大量的理论模型和实际资料计算表明该方法是有一定效果的。

     

    Abstract: The iterative time-variant filter via the discrete Gabor transform has been found extrmely powerful for wideband and nonstationary signal estimation.It not only is computational efficient, but also offers better SNR.In view of the characteristic of iterative time-variant filter and the nonstationary property of seismic data, a method of the iterative time-variant filter via the discrete Gabor transform for seismic data denoising is proposed.And for the limited frequency band and the distribution reguarities law of real seismic data, a simple method to the mask function is proposed.A great deal of computations of numerical models and real data indicated that the method is efficient.

     

/

返回文章
返回