蔡江辉1; 孟文俊1; 孙士卫2; 赵旭俊1; 张继福1
Source Publication光谱学与光谱分析
AbstractVariable star is very important for mankind studying cosmic origin and evolution. For studying variable star, the chief difficulty results from the filtration and identification of variable star, that is how to validly identify variable star spectra from large high-dimensional star spectra data. The traditional outlier definition tries to find the difference between the outlier data and the general model by different ways, and then the result is quantitatively analyzed and filtrated. However, the time complexity of this method is over size and its results are inscrutable and unaccountable. Information entropy is a measure of the uncertainty associated with a random variable. In the present paper, information entropy is imported as the standard of dataset common mode. A novel method is proposed to identify the variable star spectrum rapidly based on information entropy. The time complexity of this method is observably reduced and the man-made impact is effectively overcome. The preliminary experimental results based on Sloan star spectrum data show that the method is workable for rapid identification of variable star spectrum.
Document Type期刊论文
Recommended Citation
GB/T 7714
蔡江辉,孟文俊,孙士卫,等. 基于信息熵的变星光谱快速识别方法[J]. 光谱学与光谱分析,2012,32(1):255.
APA 蔡江辉,孟文俊,孙士卫,赵旭俊,&张继福.(2012).基于信息熵的变星光谱快速识别方法.光谱学与光谱分析,32(1),255.
MLA 蔡江辉,et al."基于信息熵的变星光谱快速识别方法".光谱学与光谱分析 32.1(2012):255.
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