在地震勘探数据分析中也有重要的应用，如地震频谱分解，瞬时属性提取等。
It has also important application in seismic data analysis, for example, seismic spectral decomposition, instantaneous attributes extraction, etc.
结果表明：不同的薄互层模型，尽管在时间域的合成记录几乎相同，但它们的某些瞬时属性却有明显的差别；
The results show that the synthetic seismic data were almost same to each other in the time domain.
本文基于小波变换具有多尺度多分辨率分析的优点，提出了在特定的小波变换分频瞬时属性上，利用局部结构熵算法来检测地震数据的局部不连续性。
Local structural entropy measure in frequency division is put forward to detect local discontinuities of seismic data, by the virtue of the instantaneous attributes based on wavelet transform.
本文基于小波变换具有多尺度多分辨率分析的优点，提出了在特定的小波变换分频瞬时属性上，利用局部结构熵算法来检测地震数据的局部不连续性。
Local structural entropy measure in frequency division is put forward to detect local discontinuities of seismic data, by the virtue of the instantaneous attributes based on wavelet transform.
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