Wavelet processing, in which wavelet estimation is essential, is an effective technique for improving the resolution of seismic data.
子波处理技术是提高地震资料分辨率的一种有效方法，其关键在于获得准确的子波估计。
In this paper we proposed a new method for seismic wavelet estimation based on the genetic algorithms.
本文基于遗传算法提出了一个新的地震子波估计方法。
Recently, the statistical methods of seismic wavelet estimation achieved comprehensive application in real seismic data processing.
近年来，统计地震性子波估计技术在实际地震数据处理中得到了广泛应用。
Wavelet Processing is an important technique used to improve the resolution of seismic data, in which the key is wavelet estimation.
子波处理是提高地震资料分辨的一个重要手段，该技术的关键是地震子波的估计。
This paper studies a statistical seismic wavelet estimation method, which based on higher order statistics and the hybrid ant colony algorithm.
本文重点研究了统计性方法中，基于高阶统计量及混合蚁群算法的地震子波估计方法。
This paper studies a statistical seismic wavelet estimation method, which based on higher order statistics and the hybrid ant colony algorithm.
本文重点研究了统计性方法中，基于高阶统计量及混合蚁群算法的地震子波估计方法。
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