Analysis of Singularities by Short Haar Wavelet Transform

机译：短Haar小波变换的奇异性分析

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Wavelets give significant information on the evolution of a time series. In particular, due to their localization properties the significant local changes in observed data (both in time and in frequency) can be easily detected by a limited set of their corresponding wavelet coefficients. Some examples will be given, in the following, showing the effectiveness of this method.

机译：小波可提供有关时间序列演变的重要信息。特别是，由于它们的定位特性，可以通过一组有限的相应小波系数轻松地检测到观测数据（时间和频率）上的明显局部变化。下面将给出一些例子，说明该方法的有效性。

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来源
《International Conference on Computational Science and Its Applications(ICCSA 2006) pt.1; 20060508-11; Glasgow(GB)》|2006年|P.828-838|共11页
会议地点 Glasgow(GB)
作者
Armando Ciancio; Carlo Cattani;
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作者单位

Dip. di Matematica , Univ. di Messina, c.da Papardo, salita Sperone 31, I-98166 Messina, Italy;

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会议组织
原文格式 PDF
正文语种 eng
中图分类计算技术、计算机技术;
关键词
wavelets; jumps; haar; time series;

机译：小波;跳跃;哈尔;时间序列;

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3. Combined Preorder and Postorder Traversal Algorithm for the Analysis of Singular Systems by Haar Wavelets [J] . Beom-SooKim, Il-JooShim, Myo-TaegLim, Mathematical Problems in Engineering: Theory, Methods and Applications . 2008,第2期

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4. Analysis of Singularities by Short Haar Wavelet Transform [C] . Armando Ciancio, Carlo Cattani International Conference on Computational Science and Its Applications . 2006

机译：短哈尔小波变换分析奇点
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Analysis of Singularities by Short Haar Wavelet Transform

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