摘要
信号特征分析是地球物理勘探中模式识别的关键。小波分析方法对局部信号进行分析优于付氏变换。将该方法用于声波测井和地震勘探的信号分解，在一系列频段上重新表示信号，突出其重要特征，从而为超声信号和地震信号特征分析提供一种实用方法。文中给出理论分析和分析实例。
Signal feature analysis is important in pattern recognition.The method ofwavelet analysis is used to sonic logging and seismic exploration. A signal was decomposedinto a series of vectors.The signal outstanding features were expressed at differentfrequences. This method gives a practical bases for ultrasonic signal processing and seismicwaves analysis. Academic and experimental examples are given.
出处
《石油大学学报（自然科学版）》
CSCD
1994年第2期14-18,共5页
Journal of the University of Petroleum,China(Edition of Natural Science)
关键词
地震波
特征分析
地震勘探
Seismic wave
Spectral analysis
Filtering
Orthonormal basis
