文章基本信息

标题：An Improved Feature Extraction Algorithm of Radiation Source Based On Multiple Fractal Theory
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作者：Jinfeng Pang ; Yun Lin ; Xiaochun Xu 等
期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2014
卷号：7
期号：1
页码：237-242
DOI：10.14257/ijsip.2014.7.1.22
出版社：SERSC
摘要：Multiple fractal dimensions can be used to depict the geometry characteristic of the radiation source signals from different dimensions, thus it can be used to extract the features of different radiation source signals. In this paper, it proposes an improved feature extraction algorithm of radiation source signals based on the multiple fractal theory, it improves the solution method of traditional multiple fractal dimension which accumulated the q dimensions characteristics. Meantime, it increases the regularity and gathered degrees of the characteristics of radiation source signals, and under the condition that the basic computational complexity of algorithm is not changed. Simulation results show that, for the classification of different radiation source signals, the improved algorithm has better property and classification rate.
关键词：Multiple Fractal Dimensions; Geometry Characteristic; Signal Feature; Signal ; Classification