太阳射电爆发精细结构的特征提取和参数统计

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

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。

Being advantageous to pattern-enhancement and noise- suppression,wavelet transform is applied to extract the frequency band of fibril and zebra-pattern fine 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.