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综合小波分析与分形方法进行弱磁异常识别
引用本文:耿喜哲,张春华.综合小波分析与分形方法进行弱磁异常识别[J].物探与化探,2002,26(2):126-130,125.
作者姓名:耿喜哲  张春华
作者单位:1. 中国地质大学,地球物理系,湖北,武汉,430074
2. 河南石油勘探局,河南,南阳,473132
摘    要:利用小波分析塔式算法对单一分形模型数据进行处理,结合“随机共振”理论,对高精度弱磁异常中的噪声和误差进行有效的分析评价,依据趋势分析方法获得的剩余磁异常,提出“加窗移动”最小二乘方法对应用非整数阶微积分的布郎运动正态随机行走进行控制,为高精度弱磁异常的有效识别提供有益的指导。

关 键 词:小波分析  分形  随机共振  弱磁异常  非整数阶微积分
文章编号:1000-8918(2002)02-0126-05
收稿时间:2000-08-13

THE APPLICATION OF WAVELET ANALYSIS AND FRACTAL TECHNIQUE TO THE RECOGANION OF MICRO-MAGNETIC ANOMALY
GENG Xi-zhe ,ZHANG Chun-hua.THE APPLICATION OF WAVELET ANALYSIS AND FRACTAL TECHNIQUE TO THE RECOGANION OF MICRO-MAGNETIC ANOMALY[J].Geophysical and Geochemical Exploration,2002,26(2):126-130,125.
Authors:GENG Xi-zhe  ZHANG Chun-hua
Institution:GENG Xi-zhe 1,ZHANG Chun-hua 2
Abstract:This paper processed the simple fractal data with pyramidal algorithm of wavelet analysis and, in combination with the "random resonance" theory, analyzed and approached noise and error in high-precision micro-magnetic anomaly. According to residual magnetic anomaly detected by tendency analysis, the authors suggest controlling normal random Brown motion of non-integer rank calculus with "shift with the window" least squares technique, and provide essential guidance for effective recognition of high-precision micro-magnetic anomaly.
Keywords:wavelet analysis  fractal  random resonance  micro-magnetic anomaly  calculus of non-integral rank
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