信号特征分析的一种新方法
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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.
引文
1边肇祺等.模式识别.北京:清华大学出版社,19882MorletJ,ArensG,FourgeauI.GiardD.WavePropagationandSamplingTheory.Geophysics1982,(47):203~2363MallatS.MultiresolutionApproximationsandWaveletOrthonormalBasesofL ̄2(R).Trans.Amer.Math.Soc,315.1989:69~874DaubechiesI.OrthonormalBasesofCompactlySupportedWavelets.Comm.onPureandAppl.Math,1988,(XLI):909~9965柳重堪.信号处理的数学方法.南京:东南大学出版社,1992

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