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中国科学院大学学报 ›› 2004, Vol. 21 ›› Issue (1): 33-39.DOI: 10.7523/j.issn.2095-6134.2004.1.005

• 论文 • 上一篇    下一篇

太阳射电爆发精细结构的特征提取和参数统计

张丽丽1,2, 颜毅华1, 宋国乡2   

  1. 1. 中国科学院国家天文台, 北京 100012;
    2. 西安电子科技大学理学院, 西安 710071
  • 收稿日期:2002-12-10 修回日期:2003-04-28 发布日期:2004-01-10
  • 基金资助:

    中国科学院、科技部973项目(G2000078403)和自然科学基金项目(19973008;19833050;10225313)共同资助

Pattern Recognition and Parameter Statistics of Fine Structures in the Solar Radio Bursts

Zhang Li-li1,2, Yan Yi-hua1, Song Guo-xiang2   

  1. 1. National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China;
    2. School of Science, Xidian University, Xian 710071, China
  • Received:2002-12-10 Revised:2003-04-28 Published:2004-01-10

摘要:

从动态频谱图中提取出斑马纹和纤维这两种精细结构的主要频带并去噪,以得到其清晰的特征;在此基础上,给出连片搜索算法,确定整个爆发区域中所有的精细结构。由此,可以计算精细结构的特征参数,并进行统计分析,从而揭示太阳射电爆发的本质。

关键词: 太阳射电爆发, 精细结构, 小波变换

Abstract:

Being advantageous to pattern-enhancement and noise-suppression,wavelet transform is applied to extract the frequency band of fibril and zebrapat ternfine structure and remove noise to get their clear characteristics.Then,a pattern recognition algorithm is presented to determine all fine structures in the whole burst regime.Finally the parameters of fine structures is calculated and analyzed so as to understand the physics of solar radio burst .

Key words: solar radio burst, fine structure, wavelet transform

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