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分形无标度区的小波变换模极大识别
引用本文:苟学强,张义军.分形无标度区的小波变换模极大识别[J].西北师范大学学报,2005,41(5):28-30.
作者姓名:苟学强  张义军
作者单位:西北师范大学物理与电子工程学院,中国科学院寒区旱区环境与工程研究所 甘肃兰州730070,中国科学院寒区旱区环境与工程研究所,甘肃兰州730000,甘肃兰州730000
基金项目:国家自然科学基金资助项目(40375004)
摘    要:针对已有方法中搜索过繁的缺陷,提出了1种利用小波变换模极大线和小波变换的多尺度微分特性,通过对系统性弯曲的多尺度识别和精确定位对分形无标度区进行识别的新方法.通过仿真证明了此方法的有效性.

关 键 词:分形信号  无标度区  小波变换极大模  多尺度微分
文章编号:1001-988X(2005)05-0028-03
收稿时间:2005-03-01
修稿时间:2005-04-14

The novel method of identifying the fractal scaleless range base on wavelet transform modulus maxima
Gou XueJiang;Zhang YiJun.The novel method of identifying the fractal scaleless range base on wavelet transform modulus maxima[J].Journal of Northwest Normal University Natural Science (Bimonthly),2005,41(5):28-30.
Authors:Gou XueJiang;Zhang YiJun
Abstract:A novel method of identifying the fractal scaleless range is proposed,which is fundamental in fractal signal processing.The method is based on the multi-scales differential property of the wavelet transform and the wavelet transform modulus maxima(WTMM) technique;By multi-scale identifying the exact position of the systematic bending,the scaleless range can be quickly,correctly and adaptively determined.The simulation test shows that the method is efficient.
Keywords:fractal signal  fractal scaleless range  wavelet transform of modulus maximum(WTMM) lines  the multi-scale differential
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